cgan-s-conditional-gan-gen-ai.ipynb

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    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "<div style=\"color:black; border: 2px solid #6f42c1; background-color:#f3e8ff; padding: 20px; border-radius: 15px; font-size: 200%; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; text-align:center; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);\">🔥 (CGAN's) Conditional GAN || Generative-AI🔥</div>\n",
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    "![](https://miro.medium.com/v2/resize:fit:1400/1*yO9fLGCR9mOgTVWUKiYQSQ.png)"
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    "Here's an overview of Conditional Generative Adversarial Networks (CGANs):\n",
    "\n",
    "### Conditional Generative Adversarial Networks (CGANs)\n",
    "\n",
    "**Introduction:**\n",
    "Conditional Generative Adversarial Networks (CGANs) extend the capabilities of traditional GANs by conditioning both the generator and discriminator models on additional information, typically class labels or other forms of auxiliary information. This conditioning enables CGANs to generate data that conforms to specific characteristics defined by the conditional information.\n",
    "\n",
    "**Key Components:**\n",
    "1. **Generator (G):** The generator takes random noise (latent space vector) and conditional information (such as class labels) as input and generates synthetic data samples. The objective is to produce data that is indistinguishable from real data conditioned on the provided information.\n",
    "\n",
    "2. **Discriminator (D):** The discriminator evaluates both real data samples and generated data samples. It is conditioned on the same auxiliary information as the generator. The goal of the discriminator is to distinguish between real and fake data samples, considering the conditional context.\n",
    "\n",
    "3. **Conditional Input:** CGANs require additional input alongside the noise vector for both training and inference. This input could be class labels in the case of image generation tasks, but it can also be other forms of information depending on the application.\n",
    "\n",
    "**Training Process:**\n",
    "- **Discriminator Training:** During training, the discriminator is fed with both real data samples labeled with their corresponding class and fake data samples generated by the generator with random noise and the same class label. The discriminator learns to differentiate between real and fake samples in the context of the provided conditional information.\n",
    "  \n",
    "- **Generator Training:** The generator aims to deceive the discriminator by generating realistic data samples that are conditioned on the given auxiliary information. It learns to produce samples that fool the discriminator into classifying them as real.\n",
    "\n",
    "**Applications:**\n",
    "CGANs have been successfully applied to various tasks, including:\n",
    "- **Image Generation:** Generating images based on specific attributes or classes (e.g., generating handwritten digits conditioned on their respective labels).\n",
    "  \n",
    "- **Image-to-Image Translation:** Translating images from one domain to another while preserving specified attributes (e.g., converting images between seasons, day-to-night).\n",
    "\n",
    "- **Text-to-Image Synthesis:** Generating images from textual descriptions, where the text provides conditional information about the content of the image.\n",
    "\n",
    "- **Data Augmentation:** Creating synthetic data samples to augment existing datasets, preserving certain characteristics or classes.\n",
    "\n",
    "**Challenges and Considerations:**\n",
    "- **Mode Collapse:** CGANs can suffer from mode collapse, where the generator fails to produce diverse samples and instead generates similar outputs for different inputs.\n",
    "  \n",
    "- **Training Stability:** Ensuring stable training requires careful tuning of hyperparameters, including learning rates, batch sizes, and network architectures.\n",
    "\n",
    "**Conclusion:**\n",
    "Conditional Generative Adversarial Networks enhance the versatility of GANs by allowing for the generation of data conditioned on specific attributes or classes. They have demonstrated success across various domains, offering powerful tools for tasks involving structured data generation and manipulation."
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    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
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     "text": [
      "2024-07-06 04:12:02.826940: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2024-07-06 04:12:02.827079: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2024-07-06 04:12:02.958134: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n"
     ]
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   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.keras import layers, Model, Input\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from tensorflow.keras.datasets import mnist"
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    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "<div style=\"color:black; border: 2px solid #6f42c1; background-color:#f3e8ff; padding: 20px; border-radius: 15px; font-size: 200%; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; text-align:center; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);\">🧾 Loading Dataset 🧾</div>\n",
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     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n",
      "\u001b[1m11490434/11490434\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 0us/step\n"
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    "(x_train, y_train), (_, _) = mnist.load_data()"
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    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
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    "x_train = (x_train.astype(np.float32) - 127.5) / 127.5  \n",
    "x_train = np.expand_dims(x_train, axis=-1)  \n",
    "y_train = y_train.astype(np.int32)"
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    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "<div style=\"color:black; border: 2px solid #6f42c1; background-color:#f3e8ff; padding: 20px; border-radius: 15px; font-size: 200%; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; text-align:center; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);\">🔥 CGAN - Conditional GAN Model 🔥</div>\n",
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    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "  <div style=\"color:black; border: 2px solid #ff6347; background-color:#ff6347; padding: 20px; border-radius: 15px; font-size: 200%; font-family: 'Arial', Tahoma, Geneva, Verdana, sans-serif; text-align:center; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7); box-shadow: 0 4px 8px rgba(0, 0, 0, 0.4);\">\n",
    "   ✔ Generator Model ✔\n",
    "  </div>\n",
    "</div>"
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     "text": [
      "/opt/conda/lib/python3.10/site-packages/keras/src/layers/activations/leaky_relu.py:41: UserWarning: Argument `alpha` is deprecated. Use `negative_slope` instead.\n",
      "  warnings.warn(\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_1\"</span>\n",
       "</pre>\n"
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       "\u001b[1mModel: \"functional_1\"\u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)        </span>┃<span style=\"font-weight: bold\"> Output Shape      </span>┃<span style=\"font-weight: bold\">    Param # </span>┃<span style=\"font-weight: bold\"> Connected to      </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ input_layer_1       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                 │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ embedding           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,000</span> │ input_layer_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>)         │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ input_layer         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>)       │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                 │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ flatten (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>)       │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ embedding[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ multiply (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>)       │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ input_layer[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                     │                   │            │ flatten[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]     │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6272</span>)      │    <span style=\"color: #00af00; text-decoration-color: #00af00\">633,472</span> │ multiply[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6272</span>)      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LeakyReLU</span>)         │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ leaky_re_lu[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ up_sampling2d       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ reshape[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">UpSampling2D</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │ up_sampling2d[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ batch_normalization │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │ conv2d[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu_1       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LeakyReLU</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ up_sampling2d_1     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ leaky_re_lu_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">UpSampling2D</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">73,792</span> │ up_sampling2d_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │ conv2d_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu_2       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LeakyReLU</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">577</span> │ leaky_re_lu_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ activation          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)        │                   │            │                   │\n",
       "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m   Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to     \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ input_layer_1       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)         │          \u001b[38;5;34m0\u001b[0m │ -                 │\n",
       "│ (\u001b[38;5;33mInputLayer\u001b[0m)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ embedding           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m100\u001b[0m)    │      \u001b[38;5;34m1,000\u001b[0m │ input_layer_1[\u001b[38;5;34m0\u001b[0m]… │\n",
       "│ (\u001b[38;5;33mEmbedding\u001b[0m)         │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ input_layer         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m)       │          \u001b[38;5;34m0\u001b[0m │ -                 │\n",
       "│ (\u001b[38;5;33mInputLayer\u001b[0m)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ flatten (\u001b[38;5;33mFlatten\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m)       │          \u001b[38;5;34m0\u001b[0m │ embedding[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ multiply (\u001b[38;5;33mMultiply\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m)       │          \u001b[38;5;34m0\u001b[0m │ input_layer[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m… │\n",
       "│                     │                   │            │ flatten[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]     │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6272\u001b[0m)      │    \u001b[38;5;34m633,472\u001b[0m │ multiply[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6272\u001b[0m)      │          \u001b[38;5;34m0\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
       "│ (\u001b[38;5;33mLeakyReLU\u001b[0m)         │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ reshape (\u001b[38;5;33mReshape\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ leaky_re_lu[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ up_sampling2d       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ reshape[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]     │\n",
       "│ (\u001b[38;5;33mUpSampling2D\u001b[0m)      │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d (\u001b[38;5;33mConv2D\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │    \u001b[38;5;34m147,584\u001b[0m │ up_sampling2d[\u001b[38;5;34m0\u001b[0m]… │\n",
       "│                     │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ batch_normalization │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │        \u001b[38;5;34m512\u001b[0m │ conv2d[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu_1       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n",
       "│ (\u001b[38;5;33mLeakyReLU\u001b[0m)         │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ up_sampling2d_1     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ leaky_re_lu_1[\u001b[38;5;34m0\u001b[0m]… │\n",
       "│ (\u001b[38;5;33mUpSampling2D\u001b[0m)      │ \u001b[38;5;34m128\u001b[0m)              │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │     \u001b[38;5;34m73,792\u001b[0m │ up_sampling2d_1[\u001b[38;5;34m…\u001b[0m │\n",
       "│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │        \u001b[38;5;34m256\u001b[0m │ conv2d_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu_2       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n",
       "│ (\u001b[38;5;33mLeakyReLU\u001b[0m)         │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d_2 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m1\u001b[0m) │        \u001b[38;5;34m577\u001b[0m │ leaky_re_lu_2[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ activation          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m1\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ conv2d_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
       "│ (\u001b[38;5;33mActivation\u001b[0m)        │                   │            │                   │\n",
       "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">857,193</span> (3.27 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m857,193\u001b[0m (3.27 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">856,809</span> (3.27 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m856,809\u001b[0m (3.27 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> (1.50 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m384\u001b[0m (1.50 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def build_generator():\n",
    "    noise = Input(shape=(100,))\n",
    "    label = Input(shape=(1,), dtype='int32')\n",
    "    \n",
    "    label_embedding = layers.Embedding(10, 100)(label)\n",
    "    label_embedding = layers.Flatten()(label_embedding)\n",
    "    \n",
    "    model_input = layers.multiply([noise, label_embedding])\n",
    "    \n",
    "    x = layers.Dense(7 * 7 * 128)(model_input)\n",
    "    x = layers.LeakyReLU(alpha=0.2)(x)\n",
    "    x = layers.Reshape((7, 7, 128))(x)\n",
    "    x = layers.UpSampling2D()(x)\n",
    "    x = layers.Conv2D(128, kernel_size=3, padding=\"same\")(x)\n",
    "    x = layers.BatchNormalization(momentum=0.8)(x)\n",
    "    x = layers.LeakyReLU(alpha=0.2)(x)\n",
    "    x = layers.UpSampling2D()(x)\n",
    "    x = layers.Conv2D(64, kernel_size=3, padding=\"same\")(x)\n",
    "    x = layers.BatchNormalization(momentum=0.8)(x)\n",
    "    x = layers.LeakyReLU(alpha=0.2)(x)\n",
    "    x = layers.Conv2D(1, kernel_size=3, padding=\"same\")(x)\n",
    "    img = layers.Activation(\"tanh\")(x)\n",
    "    \n",
    "    return Model([noise, label], img)\n",
    "\n",
    "generator = build_generator()\n",
    "generator.summary()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10129eab",
   "metadata": {
    "papermill": {
     "duration": 0.015113,
     "end_time": "2024-07-06T04:12:16.416496",
     "exception": false,
     "start_time": "2024-07-06T04:12:16.401383",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "    <div style=\"color:black; border: 2px solid #6f31c1; background-color:#ffffff; padding: 20px; border-radius: 15px; font-size: 16px; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; text-align:left; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);\">\n",
    "        <h2>Conditional GAN (CGAN) Generator Explanation</h2>\n",
    "        <p>The provided code defines a generator for a Conditional Generative Adversarial Network (CGAN). This generator takes as input a noise vector and a class label to generate images conditioned on the given label.</p>\n",
    "        <ul>\n",
    "            <li><b>Noise Input</b>\n",
    "                <ul>\n",
    "                    <li>A noise vector of shape (100,) is provided as input, representing random values used to generate images.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Label Input</b>\n",
    "                <ul>\n",
    "                    <li>A class label of shape (1,) with integer values is provided as input, specifying which class of images to generate.</li>\n",
    "                    <li>The label is embedded using an embedding layer with vocabulary size 10 and embedding dimension 100. This allows the network to learn a representation of the label in a continuous space.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Model Architecture</b>\n",
    "                <ul>\n",
    "                    <li>The label embedding is flattened to match the shape of the noise vector and then multiplied element-wise with the noise vector.</li>\n",
    "                    <li>The resulting vector is passed through a dense layer that reshapes it into a tensor of shape (7 * 7 * 128,), which corresponds to the dimensions of the image after upsampling.</li>\n",
    "                    <li>After reshaping, several upsampling layers are used to gradually increase the spatial dimensions of the tensor.</li>\n",
    "                    <li>Convolutional layers with batch normalization and LeakyReLU activation functions are used to further process the tensor, aiming to generate a 28x28 grayscale image.</li>\n",
    "                    <li>The final layer uses a Conv2D layer with 'tanh' activation to output the generated image with pixel values in the range [-1, 1].</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Output</b>\n",
    "                <ul>\n",
    "                    <li>The model outputs an image tensor of shape (28, 28, 1), representing a generated grayscale image conditioned on the input noise and label.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "        </ul>\n",
    "    </div>\n",
    "</div>\n"
   ]
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    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "  <div style=\"color:black; border: 2px solid #ff6347; background-color:#ff6347; padding: 20px; border-radius: 15px; font-size: 200%; font-family: 'Arial', Tahoma, Geneva, Verdana, sans-serif; text-align:center; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7); box-shadow: 0 4px 8px rgba(0, 0, 0, 0.4);\">\n",
    "   ✔ Discriminator Model ✔\n",
    "  </div>\n",
    "</div>"
   ]
  },
  {
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   "id": "437656f6",
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    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_3\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"functional_3\"\u001b[0m\n"
      ]
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)        </span>┃<span style=\"font-weight: bold\"> Output Shape      </span>┃<span style=\"font-weight: bold\">    Param # </span>┃<span style=\"font-weight: bold\"> Connected to      </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ input_layer_3       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                 │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ embedding_1         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">784</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">7,840</span> │ input_layer_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>)         │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ flatten_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">784</span>)       │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ embedding_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ input_layer_2       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                 │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ reshape_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ flatten_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ concatenate         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ input_layer_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │                   │            │ reshape_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,216</span> │ concatenate[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu_3       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LeakyReLU</span>)         │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>,    │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ leaky_re_lu_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │     <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │ dropout[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]     │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ zero_padding2d      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">ZeroPadding2D</span>)     │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ batch_normalizatio… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │        <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │ zero_padding2d[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalizatio…</span> │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu_4       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ batch_normalizat… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LeakyReLU</span>)         │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ leaky_re_lu_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ flatten_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8192</span>)      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dropout_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)         │      <span style=\"color: #00af00; text-decoration-color: #00af00\">8,193</span> │ flatten_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m   Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to     \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ input_layer_3       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)         │          \u001b[38;5;34m0\u001b[0m │ -                 │\n",
       "│ (\u001b[38;5;33mInputLayer\u001b[0m)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ embedding_1         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m784\u001b[0m)    │      \u001b[38;5;34m7,840\u001b[0m │ input_layer_3[\u001b[38;5;34m0\u001b[0m]… │\n",
       "│ (\u001b[38;5;33mEmbedding\u001b[0m)         │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ flatten_1 (\u001b[38;5;33mFlatten\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m784\u001b[0m)       │          \u001b[38;5;34m0\u001b[0m │ embedding_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ input_layer_2       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m1\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ -                 │\n",
       "│ (\u001b[38;5;33mInputLayer\u001b[0m)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ reshape_1 (\u001b[38;5;33mReshape\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m1\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ flatten_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ concatenate         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m2\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ input_layer_2[\u001b[38;5;34m0\u001b[0m]… │\n",
       "│ (\u001b[38;5;33mConcatenate\u001b[0m)       │                   │            │ reshape_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │      \u001b[38;5;34m1,216\u001b[0m │ concatenate[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu_3       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ conv2d_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
       "│ (\u001b[38;5;33mLeakyReLU\u001b[0m)         │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dropout (\u001b[38;5;33mDropout\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │          \u001b[38;5;34m0\u001b[0m │ leaky_re_lu_3[\u001b[38;5;34m0\u001b[0m]… │\n",
       "│                     │ \u001b[38;5;34m64\u001b[0m)               │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ conv2d_4 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m128\u001b[0m) │     \u001b[38;5;34m73,856\u001b[0m │ dropout[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]     │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ zero_padding2d      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ conv2d_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
       "│ (\u001b[38;5;33mZeroPadding2D\u001b[0m)     │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ batch_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m) │        \u001b[38;5;34m512\u001b[0m │ zero_padding2d[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ leaky_re_lu_4       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n",
       "│ (\u001b[38;5;33mLeakyReLU\u001b[0m)         │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ leaky_re_lu_4[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ flatten_2 (\u001b[38;5;33mFlatten\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8192\u001b[0m)      │          \u001b[38;5;34m0\u001b[0m │ dropout_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)         │      \u001b[38;5;34m8,193\u001b[0m │ flatten_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">91,617</span> (357.88 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m91,617\u001b[0m (357.88 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">91,361</span> (356.88 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m91,361\u001b[0m (356.88 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> (1.00 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m256\u001b[0m (1.00 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def build_discriminator():\n",
    "    img = Input(shape=(28, 28, 1))\n",
    "    label = Input(shape=(1,), dtype='int32')\n",
    "    \n",
    "    label_embedding = layers.Embedding(10, np.prod((28, 28, 1)))(label)\n",
    "    label_embedding = layers.Flatten()(label_embedding)\n",
    "    label_embedding = layers.Reshape((28, 28, 1))(label_embedding)\n",
    "    \n",
    "    model_input = layers.Concatenate(axis=-1)([img, label_embedding])\n",
    "    \n",
    "    x = layers.Conv2D(64, kernel_size=3, strides=2, padding=\"same\")(model_input)\n",
    "    x = layers.LeakyReLU(alpha=0.2)(x)\n",
    "    x = layers.Dropout(0.25)(x)\n",
    "    x = layers.Conv2D(128, kernel_size=3, strides=2, padding=\"same\")(x)\n",
    "    x = layers.ZeroPadding2D(padding=((0, 1), (0, 1)))(x)\n",
    "    x = layers.BatchNormalization(momentum=0.8)(x)\n",
    "    x = layers.LeakyReLU(alpha=0.2)(x)\n",
    "    x = layers.Dropout(0.25)(x)\n",
    "    x = layers.Flatten()(x)\n",
    "    validity = layers.Dense(1, activation='sigmoid')(x)\n",
    "    \n",
    "    return Model([img, label], validity)\n",
    "\n",
    "discriminator = build_discriminator()\n",
    "discriminator.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e84a83b7",
   "metadata": {
    "papermill": {
     "duration": 0.009961,
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     "status": "completed"
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    "tags": []
   },
   "source": [
    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "    <div style=\"color:black; border: 2px solid #6f31c1; background-color:#ffffff; padding: 20px; border-radius: 15px; font-size: 16px; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; text-align:left; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);\">\n",
    "        <h2>Conditional GAN (CGAN) Discriminator Explanation</h2>\n",
    "        <p>The provided code defines a discriminator for a Conditional Generative Adversarial Network (CGAN). This discriminator takes as input an image and a class label, aiming to distinguish between real and generated images conditioned on the label.</p>\n",
    "        <ul>\n",
    "            <li><b>Image Input</b>\n",
    "                <ul>\n",
    "                    <li>An image tensor of shape (28, 28, 1) representing a grayscale image is provided as input.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Label Input</b>\n",
    "                <ul>\n",
    "                    <li>A class label of shape (1,) with integer values is provided as input, specifying which class the image belongs to.</li>\n",
    "                    <li>The label is embedded using an embedding layer with vocabulary size 10 and reshaped to match the dimensions of the image (28, 28, 1).</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Model Architecture</b>\n",
    "                <ul>\n",
    "                    <li>The image and label embedding are concatenated along the channel axis (-1).</li>\n",
    "                    <li>A series of convolutional layers are applied to the concatenated tensor to extract features from the input image.</li>\n",
    "                    <li>Convolutional layers are followed by LeakyReLU activation functions and dropout layers to introduce non-linearity and regularization.</li>\n",
    "                    <li>Batch normalization layers stabilize and accelerate the training process by normalizing the activations of the previous layer.</li>\n",
    "                    <li>The flattened output is fed into a dense layer that computes the validity of the input image-label pair, producing a scalar output indicating the likelihood that the input is a real image from the dataset.</li>\n",
    "                    <li>The output layer uses a sigmoid activation function to produce a probability score between 0 and 1, where values close to 1 indicate a real image and values close to 0 indicate a generated (fake) image.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Output</b>\n",
    "                <ul>\n",
    "                    <li>The model outputs a validity score (probability) for the input image and label pair, indicating its authenticity as a real image.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "        </ul>\n",
    "    </div>\n",
    "</div>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "00eb9a02",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-06T04:12:16.599170Z",
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     "iopub.status.idle": "2024-07-06T04:12:16.611719Z",
     "shell.execute_reply": "2024-07-06T04:12:16.611037Z"
    },
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     "end_time": "2024-07-06T04:12:16.613488",
     "exception": false,
     "start_time": "2024-07-06T04:12:16.587977",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "discriminator.compile(loss='binary_crossentropy', optimizer=tf.keras.optimizers.Adam(0.0002, 0.5), metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b0d7ce8",
   "metadata": {
    "papermill": {
     "duration": 0.009913,
     "end_time": "2024-07-06T04:12:16.633676",
     "exception": false,
     "start_time": "2024-07-06T04:12:16.623763",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "  <div style=\"color:black; border: 2px solid #ff6347; background-color:#ff6347; padding: 20px; border-radius: 15px; font-size: 200%; font-family: 'Arial', Tahoma, Geneva, Verdana, sans-serif; text-align:center; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7); box-shadow: 0 4px 8px rgba(0, 0, 0, 0.4);\">\n",
    "   ✔ Conditional GAN Model ✔\n",
    "  </div>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "384d836b",
   "metadata": {
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     "start_time": "2024-07-06T04:12:16.643860",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_5\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"functional_5\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)        </span>┃<span style=\"font-weight: bold\"> Output Shape      </span>┃<span style=\"font-weight: bold\">    Param # </span>┃<span style=\"font-weight: bold\"> Connected to      </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ input_layer_4       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>)       │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                 │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ input_layer_5       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                 │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ functional_1        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">857,193</span> │ input_layer_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Functional</span>)        │                   │            │ input_layer_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ functional_3        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)         │     <span style=\"color: #00af00; text-decoration-color: #00af00\">91,617</span> │ functional_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Functional</span>)        │                   │            │ input_layer_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m   Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to     \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
       "│ input_layer_4       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m)       │          \u001b[38;5;34m0\u001b[0m │ -                 │\n",
       "│ (\u001b[38;5;33mInputLayer\u001b[0m)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ input_layer_5       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)         │          \u001b[38;5;34m0\u001b[0m │ -                 │\n",
       "│ (\u001b[38;5;33mInputLayer\u001b[0m)        │                   │            │                   │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ functional_1        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m1\u001b[0m) │    \u001b[38;5;34m857,193\u001b[0m │ input_layer_4[\u001b[38;5;34m0\u001b[0m]… │\n",
       "│ (\u001b[38;5;33mFunctional\u001b[0m)        │                   │            │ input_layer_5[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
       "│ functional_3        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)         │     \u001b[38;5;34m91,617\u001b[0m │ functional_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "│ (\u001b[38;5;33mFunctional\u001b[0m)        │                   │            │ input_layer_5[\u001b[38;5;34m0\u001b[0m]… │\n",
       "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"
      ]
     },
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     "output_type": "display_data"
    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">948,810</span> (3.62 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m948,810\u001b[0m (3.62 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">856,809</span> (3.27 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m856,809\u001b[0m (3.27 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">92,001</span> (359.38 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m92,001\u001b[0m (359.38 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def build_cgan(generator, discriminator):\n",
    "    noise = Input(shape=(100,))\n",
    "    label = Input(shape=(1,), dtype='int32')\n",
    "    \n",
    "    img = generator([noise, label])\n",
    "    validity = discriminator([img, label])\n",
    "    \n",
    "    combined = Model([noise, label], validity)\n",
    "    return combined\n",
    "\n",
    "discriminator.trainable = False\n",
    "cgan = build_cgan(generator, discriminator)\n",
    "cgan.compile(loss='binary_crossentropy', optimizer=tf.keras.optimizers.Adam(0.0002, 0.5))\n",
    "cgan.summary()"
   ]
  },
  {
   "cell_type": "markdown",
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    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "    <div style=\"color:black; border: 2px solid #6f31c1; background-color:#ffffff; padding: 20px; border-radius: 15px; font-size: 16px; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; text-align:left; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);\">\n",
    "        <h2>Conditional Generative Adversarial Network (CGAN) Explanation</h2>\n",
    "        <p>The provided code snippet constructs a Conditional GAN (CGAN) model, which combines a generator and a discriminator network. CGANs are capable of generating realistic images conditioned on specific class labels.</p>\n",
    "        <ul>\n",
    "            <li><b>Generator Input</b>\n",
    "                <ul>\n",
    "                    <li>Inputs include a noise vector of shape (100,) and a class label of shape (1,).</li>\n",
    "                    <li>The generator network takes these inputs to produce an image that ideally resembles images from the specified class.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Discriminator Input</b>\n",
    "                <ul>\n",
    "                    <li>The discriminator network also takes an image and a class label as inputs.</li>\n",
    "                    <li>Its role is to classify whether the input image is real (from the dataset) or fake (generated by the generator).</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Model Construction</b>\n",
    "                <ul>\n",
    "                    <li>The generator is invoked with the noise vector and label as inputs to generate an image.</li>\n",
    "                    <li>The discriminator then evaluates the generated image-label pair to predict its authenticity.</li>\n",
    "                    <li>A combined model is created using Keras' <code>Model</code> class, taking noise and label inputs and outputting the validity prediction from the discriminator.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Training Setup</b>\n",
    "                <ul>\n",
    "                    <li>The discriminator's weights are frozen (<code>trainable = False</code>) to prevent updates during CGAN training, focusing solely on improving the generator's ability to fool the discriminator.</li>\n",
    "                    <li>The combined CGAN model is compiled with a binary cross-entropy loss function and an Adam optimizer with a specific learning rate and beta parameters (0.0002 and 0.5, respectively).</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Summary</b>\n",
    "                <ul>\n",
    "                    <li>The summary provides an overview of the CGAN model architecture, detailing the number of parameters and connections in each layer.</li>\n",
    "                    <li>It serves as a blueprint for training the CGAN to generate realistic images conditioned on class labels.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "        </ul>\n",
    "    </div>\n",
    "</div>\n"
   ]
  },
  {
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    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "<div style=\"color:black; border: 2px solid #6f42c1; background-color:#f3e8ff; padding: 20px; border-radius: 15px; font-size: 200%; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; text-align:center; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);\">🔥 CGAN - Conditional GAN Model Training🔥</div>\n",
    "</div>"
   ]
  },
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   "source": [
    "def train(generator, discriminator, combined, epochs, batch_size=128, save_interval=50):\n",
    "    (x_train, y_train), (_, _) = mnist.load_data()\n",
    "    x_train = (x_train.astype(np.float32) - 127.5) / 127.5\n",
    "    x_train = np.expand_dims(x_train, axis=-1)\n",
    "    y_train = y_train.astype(np.int32)\n",
    "\n",
    "    valid = np.ones((batch_size, 1))\n",
    "    fake = np.zeros((batch_size, 1))\n",
    "    \n",
    "    for epoch in range(epochs):\n",
    "        # Train Discriminator\n",
    "        idx = np.random.randint(0, x_train.shape[0], batch_size)\n",
    "        imgs, labels = x_train[idx], y_train[idx]\n",
    "        \n",
    "        noise = np.random.normal(0, 1, (batch_size, 100))\n",
    "        gen_labels = np.random.randint(0, 10, batch_size)\n",
    "        d_loss_real, d_acc_real = discriminator.train_on_batch([imgs, labels], valid)\n",
    "        \n",
    "        gen_imgs = generator.predict([noise, gen_labels])\n",
    "        d_loss_fake, d_acc_fake = discriminator.train_on_batch([gen_imgs, gen_labels], fake)\n",
    "        \n",
    "        d_loss = 0.5 * (d_loss_real + d_loss_fake)\n",
    "        d_acc = 0.5 * (d_acc_real + d_acc_fake)\n",
    "        \n",
    "        # Train Generator\n",
    "        noise = np.random.normal(0, 1, (batch_size, 100))\n",
    "        valid_y = np.ones((batch_size, 1))\n",
    "        sampled_labels = np.random.randint(0, 10, batch_size)\n",
    "        \n",
    "        g_loss = combined.train_on_batch([noise, sampled_labels], valid_y)\n",
    "        \n",
    "        print(f\"{epoch} [D loss: {d_loss}, acc.: {100 * d_acc}%] [G loss: {g_loss}]\")\n",
    "        \n",
    "        #if epoch % save_interval == 0:\n",
    "            # Optionally, call save_images to debug generated images\n",
    "           # _ = save_images(epoch, generator)\n"
   ]
  },
  {
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   "source": [
    "<div class=\"text_cell_render border-box-sizing rendered_html\">\n",
    "    <div style=\"color:black; border: 2px solid #6f31c1; background-color:#ffffff; padding: 20px; border-radius: 15px; font-size: 16px; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; text-align:left; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);\">\n",
    "        <h2>CGAN Training Function Explanation</h2>\n",
    "        <p>The provided code snippet defines a training loop for a Conditional Generative Adversarial Network (CGAN) using the MNIST dataset. CGANs are trained to generate images conditioned on class labels, improving both the generator and discriminator networks iteratively.</p>\n",
    "        <ul>\n",
    "            <li><b>Data Preprocessing</b>\n",
    "                <ul>\n",
    "                    <li>The MNIST dataset is loaded and normalized to the range [-1, 1] for better training stability.</li>\n",
    "                    <li>Labels are prepared as integers.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Training Loop</b>\n",
    "                <ul>\n",
    "                    <li>For each epoch in the specified number of epochs:\n",
    "                        <ul>\n",
    "                            <li>A batch of real images and their corresponding labels are randomly sampled from the dataset.</li>\n",
    "                            <li>Noise vectors and random labels are generated for the generator input.</li>\n",
    "                            <li>The discriminator is trained on both real and generated images:\n",
    "                                <ul>\n",
    "                                    <li><code>train_on_batch</code> is used to compute the loss and accuracy for real images labeled as valid and generated images labeled as fake.</li>\n",
    "                                    <li>The discriminator loss and accuracy are averaged.</li>\n",
    "                                </ul>\n",
    "                            </li>\n",
    "                            <li>The generator is trained:\n",
    "                                <ul>\n",
    "                                    <li>Noise vectors and random labels are used as input.</li>\n",
    "                                    <li>The combined model (generator within CGAN) is trained to generate images that the discriminator predicts as valid.</li>\n",
    "                                    <li>The generator loss is computed using <code>train_on_batch</code>.</li>\n",
    "                                </ul>\n",
    "                            </li>\n",
    "                            <li>Losses and accuracies for both discriminator and generator are printed for each epoch.</li>\n",
    "                        </ul>\n",
    "                    </li>\n",
    "                </ul>\n",
    "            </li>\n",
    "            <li><b>Save Interval (Optional)</b>\n",
    "                <ul>\n",
    "                    <li>Images can be saved periodically during training for visualization and debugging purposes using the <code>save_images</code> function.</li>\n",
    "                    <li>The function is commented out in the provided code but can be uncommented and implemented as needed.</li>\n",
    "                </ul>\n",
    "            </li>\n",
    "        </ul>\n",
    "    </div>\n",
    "</div>\n"
   ]
  },
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   "source": [
    "def save_images(epoch, generator, examples=10):\n",
    "    noise = np.random.normal(0, 1, (examples, 100))\n",
    "    sampled_labels = np.random.randint(0, 10, (examples, 1))\n",
    "    \n",
    "    print(f\"Noise shape: {noise.shape}\")\n",
    "    print(f\"Sampled labels shape: {sampled_labels.shape}\")\n",
    "    \n",
    "    gen_imgs = generator.predict([noise, sampled_labels])\n",
    "    # Optionally, you can print the generated images or their shape for debugging\n",
    "    # print(f\"Generated images shape: {gen_imgs.shape}\")\n",
    "    \n",
    "    return gen_imgs\n"
   ]
  },
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/keras/src/backend/tensorflow/trainer.py:71: UserWarning: The model does not have any trainable weights.\n",
      "  warnings.warn(\"The model does not have any trainable weights.\")\n",
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "I0000 00:00:1720239141.199790      71 device_compiler.h:186] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1s/step\n",
      "0 [D loss: 0.6907130479812622, acc.: 48.4375%] [G loss: [array(0.6916153, dtype=float32), array(0.6916153, dtype=float32), array(0.46875, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "W0000 00:00:1720239152.587309      71 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 [D loss: 0.6910818219184875, acc.: 46.74479365348816%] [G loss: [array(0.6914445, dtype=float32), array(0.6914445, dtype=float32), array(0.4453125, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "2 [D loss: 0.688413679599762, acc.: 49.531251192092896%] [G loss: [array(0.6888842, dtype=float32), array(0.6888842, dtype=float32), array(0.484375, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "3 [D loss: 0.6880728006362915, acc.: 48.0747789144516%] [G loss: [array(0.68848205, dtype=float32), array(0.68848205, dtype=float32), array(0.45703125, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "4 [D loss: 0.6886547803878784, acc.: 45.3125%] [G loss: [array(0.68894386, dtype=float32), array(0.68894386, dtype=float32), array(0.4375, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "5 [D loss: 0.6883559823036194, acc.: 43.41856241226196%] [G loss: [array(0.6886334, dtype=float32), array(0.6886334, dtype=float32), array(0.4166667, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "6 [D loss: 0.6887808442115784, acc.: 41.603708267211914%] [G loss: [array(0.68903786, dtype=float32), array(0.68903786, dtype=float32), array(0.40178573, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "7 [D loss: 0.6881561279296875, acc.: 41.57552123069763%] [G loss: [array(0.68845165, dtype=float32), array(0.68845165, dtype=float32), array(0.40234375, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "8 [D loss: 0.6887800693511963, acc.: 40.39011597633362%] [G loss: [array(0.68907005, dtype=float32), array(0.68907005, dtype=float32), array(0.3923611, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "9 [D loss: 0.6885875463485718, acc.: 39.60937559604645%] [G loss: [array(0.6889145, dtype=float32), array(0.6889145, dtype=float32), array(0.3859375, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "10 [D loss: 0.6890279054641724, acc.: 38.39285969734192%] [G loss: [array(0.689398, dtype=float32), array(0.689398, dtype=float32), array(0.375, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "11 [D loss: 0.6900264024734497, acc.: 37.11786866188049%] [G loss: [array(0.69041985, dtype=float32), array(0.69041985, dtype=float32), array(0.36328125, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "12 [D loss: 0.6910495162010193, acc.: 35.92067360877991%] [G loss: [array(0.69151473, dtype=float32), array(0.69151473, dtype=float32), array(0.35216346, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "13 [D loss: 0.6914868354797363, acc.: 35.80729365348816%] [G loss: [array(0.6920672, dtype=float32), array(0.6920672, dtype=float32), array(0.35156253, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "14 [D loss: 0.6921499371528625, acc.: 36.133259534835815%] [G loss: [array(0.6928464, dtype=float32), array(0.6928464, dtype=float32), array(0.35520834, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "15 [D loss: 0.693403959274292, acc.: 36.02097928524017%] [G loss: [array(0.6942314, dtype=float32), array(0.6942314, dtype=float32), array(0.3544922, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "16 [D loss: 0.6949586868286133, acc.: 35.73557138442993%] [G loss: [array(0.6959029, dtype=float32), array(0.6959029, dtype=float32), array(0.35202205, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "17 [D loss: 0.6964701414108276, acc.: 35.57043671607971%] [G loss: [array(0.69754946, dtype=float32), array(0.69754946, dtype=float32), array(0.35069445, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "18 [D loss: 0.6984134316444397, acc.: 35.17292141914368%] [G loss: [array(0.6997094, dtype=float32), array(0.6997094, dtype=float32), array(0.3470395, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "19 [D loss: 0.7009975910186768, acc.: 34.49919819831848%] [G loss: [array(0.7024183, dtype=float32), array(0.7024183, dtype=float32), array(0.34062502, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "20 [D loss: 0.7036614418029785, acc.: 34.191709756851196%] [G loss: [array(0.70535696, dtype=float32), array(0.70535696, dtype=float32), array(0.3377976, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "21 [D loss: 0.7067556381225586, acc.: 33.984375%] [G loss: [array(0.70865387, dtype=float32), array(0.70865387, dtype=float32), array(0.3359375, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "22 [D loss: 0.7100595235824585, acc.: 33.72660279273987%] [G loss: [array(0.71219903, dtype=float32), array(0.71219903, dtype=float32), array(0.33355978, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "23 [D loss: 0.7138525247573853, acc.: 33.622145652770996%] [G loss: [array(0.71622515, dtype=float32), array(0.71622515, dtype=float32), array(0.3326823, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "24 [D loss: 0.7182844877243042, acc.: 33.52614641189575%] [G loss: [array(0.72098815, dtype=float32), array(0.72098815, dtype=float32), array(0.331875, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "25 [D loss: 0.7233238220214844, acc.: 33.13419222831726%] [G loss: [array(0.7262374, dtype=float32), array(0.7262374, dtype=float32), array(0.328125, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "26 [D loss: 0.7284945845603943, acc.: 32.94680416584015%] [G loss: [array(0.7315243, dtype=float32), array(0.7315243, dtype=float32), array(0.3263889, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "27 [D loss: 0.7336651682853699, acc.: 33.11079442501068%] [G loss: [array(0.7368254, dtype=float32), array(0.7368254, dtype=float32), array(0.328125, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "28 [D loss: 0.7391051650047302, acc.: 32.937273383140564%] [G loss: [array(0.7423235, dtype=float32), array(0.7423235, dtype=float32), array(0.3265086, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "29 [D loss: 0.7444915771484375, acc.: 32.880473136901855%] [G loss: [array(0.7477585, dtype=float32), array(0.7477585, dtype=float32), array(0.3260417, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "30 [D loss: 0.7501997351646423, acc.: 32.67492651939392%] [G loss: [array(0.75353855, dtype=float32), array(0.75353855, dtype=float32), array(0.32409275, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "31 [D loss: 0.7558525204658508, acc.: 32.48233199119568%] [G loss: [array(0.7592605, dtype=float32), array(0.7592605, dtype=float32), array(0.32226562, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "32 [D loss: 0.7614901065826416, acc.: 32.39692449569702%] [G loss: [array(0.7648723, dtype=float32), array(0.7648723, dtype=float32), array(0.3214962, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "33 [D loss: 0.7669687271118164, acc.: 32.40918517112732%] [G loss: [array(0.77031344, dtype=float32), array(0.77031344, dtype=float32), array(0.3216912, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "34 [D loss: 0.772496223449707, acc.: 32.33081102371216%] [G loss: [array(0.7758551, dtype=float32), array(0.7758551, dtype=float32), array(0.32098216, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "35 [D loss: 0.7781358957290649, acc.: 31.907153129577637%] [G loss: [array(0.7814721, dtype=float32), array(0.7814721, dtype=float32), array(0.3168403, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "36 [D loss: 0.7833691835403442, acc.: 31.804192066192627%] [G loss: [array(0.786597, dtype=float32), array(0.786597, dtype=float32), array(0.31587836, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "37 [D loss: 0.7884011268615723, acc.: 31.872260570526123%] [G loss: [array(0.79157466, dtype=float32), array(0.79157466, dtype=float32), array(0.31661186, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "38 [D loss: 0.7934361696243286, acc.: 31.85616433620453%] [G loss: [array(0.7966842, dtype=float32), array(0.7966842, dtype=float32), array(0.31650642, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "39 [D loss: 0.7984289526939392, acc.: 31.998121738433838%] [G loss: [array(0.8016855, dtype=float32), array(0.8016855, dtype=float32), array(0.31796876, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "40 [D loss: 0.8033503293991089, acc.: 31.749659776687622%] [G loss: [array(0.80642354, dtype=float32), array(0.80642354, dtype=float32), array(0.31554878, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "41 [D loss: 0.807979941368103, acc.: 31.77509307861328%] [G loss: [array(0.8111142, dtype=float32), array(0.8111142, dtype=float32), array(0.31584823, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "42 [D loss: 0.812703013420105, acc.: 31.616580486297607%] [G loss: [array(0.8157244, dtype=float32), array(0.8157244, dtype=float32), array(0.31431687, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "43 [D loss: 0.8171148300170898, acc.: 31.64389133453369%] [G loss: [array(0.82007194, dtype=float32), array(0.82007194, dtype=float32), array(0.3146307, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "44 [D loss: 0.8214116096496582, acc.: 31.56523108482361%] [G loss: [array(0.8241813, dtype=float32), array(0.8241813, dtype=float32), array(0.3138889, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "45 [D loss: 0.825398325920105, acc.: 31.5924733877182%] [G loss: [array(0.82819676, dtype=float32), array(0.82819676, dtype=float32), array(0.31419837, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "46 [D loss: 0.8295314311981201, acc.: 31.451433897018433%] [G loss: [array(0.8323463, dtype=float32), array(0.8323463, dtype=float32), array(0.31283244, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "47 [D loss: 0.8335118293762207, acc.: 31.51264488697052%] [G loss: [array(0.8363194, dtype=float32), array(0.8363194, dtype=float32), array(0.31347656, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "48 [D loss: 0.8374261856079102, acc.: 31.60339593887329%] [G loss: [array(0.8402223, dtype=float32), array(0.8402223, dtype=float32), array(0.31441325, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "49 [D loss: 0.8413280844688416, acc.: 31.7219078540802%] [G loss: [array(0.84407294, dtype=float32), array(0.84407294, dtype=float32), array(0.31562498, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "50 [D loss: 0.845026969909668, acc.: 31.80495798587799%] [G loss: [array(0.8476972, dtype=float32), array(0.8476972, dtype=float32), array(0.31648284, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "51 [D loss: 0.8487703800201416, acc.: 31.76402747631073%] [G loss: [array(0.8514497, dtype=float32), array(0.8514497, dtype=float32), array(0.31610578, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "52 [D loss: 0.852372407913208, acc.: 31.724649667739868%] [G loss: [array(0.85489815, dtype=float32), array(0.85489815, dtype=float32), array(0.31574294, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "53 [D loss: 0.8558098077774048, acc.: 31.71580135822296%] [G loss: [array(0.8583426, dtype=float32), array(0.8583426, dtype=float32), array(0.31568286, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "54 [D loss: 0.8591023683547974, acc.: 31.764358282089233%] [G loss: [array(0.86152935, dtype=float32), array(0.86152935, dtype=float32), array(0.31619316, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "55 [D loss: 0.8624179363250732, acc.: 31.783151626586914%] [G loss: [array(0.86486596, dtype=float32), array(0.86486596, dtype=float32), array(0.31640625, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "56 [D loss: 0.8657509684562683, acc.: 31.66360855102539%] [G loss: [array(0.86818475, dtype=float32), array(0.86818475, dtype=float32), array(0.31524122, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "57 [D loss: 0.8689177632331848, acc.: 31.629380583763123%] [G loss: [array(0.871325, dtype=float32), array(0.871325, dtype=float32), array(0.31492457, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "58 [D loss: 0.8720951080322266, acc.: 31.596317887306213%] [G loss: [array(0.8744189, dtype=float32), array(0.8744189, dtype=float32), array(0.31461865, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "59 [D loss: 0.8748878240585327, acc.: 31.616663932800293%] [G loss: [array(0.87704974, dtype=float32), array(0.87704974, dtype=float32), array(0.31484377, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "60 [D loss: 0.8777493238449097, acc.: 31.430572271347046%] [G loss: [array(0.87997687, dtype=float32), array(0.87997687, dtype=float32), array(0.3130123, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "61 [D loss: 0.880577564239502, acc.: 31.326425075531006%] [G loss: [array(0.8827534, dtype=float32), array(0.8827534, dtype=float32), array(0.31199595, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "62 [D loss: 0.8832403421401978, acc.: 31.37500286102295%] [G loss: [array(0.8853534, dtype=float32), array(0.8853534, dtype=float32), array(0.31250003, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "63 [D loss: 0.8858563303947449, acc.: 31.471073627471924%] [G loss: [array(0.8880291, dtype=float32), array(0.8880291, dtype=float32), array(0.31347656, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "64 [D loss: 0.8886679410934448, acc.: 31.298726797103882%] [G loss: [array(0.890839, dtype=float32), array(0.890839, dtype=float32), array(0.31177884, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "65 [D loss: 0.8912898898124695, acc.: 31.345510482788086%] [G loss: [array(0.89336765, dtype=float32), array(0.89336765, dtype=float32), array(0.31226325, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "66 [D loss: 0.8937479853630066, acc.: 31.43770694732666%] [G loss: [array(0.8957723, dtype=float32), array(0.8957723, dtype=float32), array(0.31319964, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "67 [D loss: 0.8961200714111328, acc.: 31.5041184425354%] [G loss: [array(0.89811367, dtype=float32), array(0.89811367, dtype=float32), array(0.3138787, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "68 [D loss: 0.8985104560852051, acc.: 31.54587149620056%] [G loss: [array(0.9004874, dtype=float32), array(0.9004874, dtype=float32), array(0.3143116, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "69 [D loss: 0.900964081287384, acc.: 31.36240839958191%] [G loss: [array(0.90291435, dtype=float32), array(0.90291435, dtype=float32), array(0.3125, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "70 [D loss: 0.9033427238464355, acc.: 31.228303909301758%] [G loss: [array(0.90527236, dtype=float32), array(0.90527236, dtype=float32), array(0.31117958, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "71 [D loss: 0.90565025806427, acc.: 31.206825375556946%] [G loss: [array(0.90759194, dtype=float32), array(0.90759194, dtype=float32), array(0.31098092, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "72 [D loss: 0.9079538583755493, acc.: 31.18593692779541%] [G loss: [array(0.90983456, dtype=float32), array(0.90983456, dtype=float32), array(0.31078768, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "73 [D loss: 0.9101400375366211, acc.: 31.207984685897827%] [G loss: [array(0.9119744, dtype=float32), array(0.9119744, dtype=float32), array(0.31102195, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\n",
      "74 [D loss: 0.9123415350914001, acc.: 31.124931573867798%] [G loss: [array(0.9141779, dtype=float32), array(0.9141779, dtype=float32), array(0.31020832, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "75 [D loss: 0.914370059967041, acc.: 31.105950474739075%] [G loss: [array(0.91612697, dtype=float32), array(0.91612697, dtype=float32), array(0.3100329, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "76 [D loss: 0.9164570569992065, acc.: 31.067103147506714%] [G loss: [array(0.91826314, dtype=float32), array(0.91826314, dtype=float32), array(0.3096591, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "77 [D loss: 0.9186021089553833, acc.: 31.04935884475708%] [G loss: [array(0.920424, dtype=float32), array(0.920424, dtype=float32), array(0.3094952, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "78 [D loss: 0.920690655708313, acc.: 31.032058596611023%] [G loss: [array(0.9224601, dtype=float32), array(0.9224601, dtype=float32), array(0.30933544, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "79 [D loss: 0.9227015972137451, acc.: 30.995601415634155%] [G loss: [array(0.92442334, dtype=float32), array(0.92442334, dtype=float32), array(0.30898437, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "80 [D loss: 0.924630880355835, acc.: 30.979400873184204%] [G loss: [array(0.92633754, dtype=float32), array(0.92633754, dtype=float32), array(0.30883488, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "81 [D loss: 0.9265083074569702, acc.: 31.059157848358154%] [G loss: [array(0.928202, dtype=float32), array(0.928202, dtype=float32), array(0.30964175, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "82 [D loss: 0.9283515214920044, acc.: 31.09922707080841%] [G loss: [array(0.93000686, dtype=float32), array(0.93000686, dtype=float32), array(0.31005272, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "83 [D loss: 0.9302693605422974, acc.: 30.97042441368103%] [G loss: [array(0.93197024, dtype=float32), array(0.93197024, dtype=float32), array(0.30877978, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "84 [D loss: 0.9320358037948608, acc.: 31.029033660888672%] [G loss: [array(0.93364376, dtype=float32), array(0.93364376, dtype=float32), array(0.30937502, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "85 [D loss: 0.9338585138320923, acc.: 30.958718061447144%] [G loss: [array(0.93549603, dtype=float32), array(0.93549603, dtype=float32), array(0.3086846, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "86 [D loss: 0.9356396198272705, acc.: 30.962073802947998%] [G loss: [array(0.93729025, dtype=float32), array(0.93729025, dtype=float32), array(0.30872846, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "87 [D loss: 0.937485933303833, acc.: 30.947545170783997%] [G loss: [array(0.93911713, dtype=float32), array(0.93911713, dtype=float32), array(0.30859375, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "88 [D loss: 0.9392327666282654, acc.: 30.898132920265198%] [G loss: [array(0.9407957, dtype=float32), array(0.9407957, dtype=float32), array(0.30811095, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "89 [D loss: 0.9409606456756592, acc.: 30.849820375442505%] [G loss: [array(0.9425342, dtype=float32), array(0.9425342, dtype=float32), array(0.30763888, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "90 [D loss: 0.9426210522651672, acc.: 30.871444940567017%] [G loss: [array(0.9442245, dtype=float32), array(0.9442245, dtype=float32), array(0.307864, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "91 [D loss: 0.944359302520752, acc.: 30.841508507728577%] [G loss: [array(0.9459213, dtype=float32), array(0.9459213, dtype=float32), array(0.30757472, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "92 [D loss: 0.9460210800170898, acc.: 30.89645206928253%] [G loss: [array(0.947576, dtype=float32), array(0.947576, dtype=float32), array(0.30813172, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "93 [D loss: 0.9477363228797913, acc.: 30.8835506439209%] [G loss: [array(0.949286, dtype=float32), array(0.949286, dtype=float32), array(0.30801195, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "94 [D loss: 0.9494010210037231, acc.: 30.837947130203247%] [G loss: [array(0.95089865, dtype=float32), array(0.95089865, dtype=float32), array(0.3075658, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "95 [D loss: 0.9510107040405273, acc.: 30.84224760532379%] [G loss: [array(0.95252824, dtype=float32), array(0.95252824, dtype=float32), array(0.3076172, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "96 [D loss: 0.952643632888794, acc.: 30.798012018203735%] [G loss: [array(0.9541499, dtype=float32), array(0.9541499, dtype=float32), array(0.3071843, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "97 [D loss: 0.9542419910430908, acc.: 30.738693475723267%] [G loss: [array(0.95571876, dtype=float32), array(0.95571876, dtype=float32), array(0.30660075, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "98 [D loss: 0.9557662010192871, acc.: 30.74386715888977%] [G loss: [array(0.9572225, dtype=float32), array(0.9572225, dtype=float32), array(0.30666035, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "99 [D loss: 0.9573420286178589, acc.: 30.70194721221924%] [G loss: [array(0.95884246, dtype=float32), array(0.95884246, dtype=float32), array(0.30625, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "100 [D loss: 0.9589601755142212, acc.: 30.62984049320221%] [G loss: [array(0.9604307, dtype=float32), array(0.9604307, dtype=float32), array(0.30553836, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "101 [D loss: 0.9604183435440063, acc.: 30.635935068130493%] [G loss: [array(0.9617971, dtype=float32), array(0.9617971, dtype=float32), array(0.30560663, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "102 [D loss: 0.9618109464645386, acc.: 30.641907453536987%] [G loss: [array(0.9631872, dtype=float32), array(0.9631872, dtype=float32), array(0.30567354, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "103 [D loss: 0.9632328748703003, acc.: 30.58752715587616%] [G loss: [array(0.96460474, dtype=float32), array(0.96460474, dtype=float32), array(0.30513823, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "104 [D loss: 0.9646251201629639, acc.: 30.60876727104187%] [G loss: [array(0.96599376, dtype=float32), array(0.96599376, dtype=float32), array(0.30535716, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "105 [D loss: 0.9660589098930359, acc.: 30.52617609500885%] [G loss: [array(0.967417, dtype=float32), array(0.967417, dtype=float32), array(0.3045401, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "106 [D loss: 0.9673681259155273, acc.: 30.562227964401245%] [G loss: [array(0.9686796, dtype=float32), array(0.9686796, dtype=float32), array(0.30490655, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "107 [D loss: 0.9686811566352844, acc.: 30.583113431930542%] [G loss: [array(0.9700265, dtype=float32), array(0.9700265, dtype=float32), array(0.30512154, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "108 [D loss: 0.9700002670288086, acc.: 30.589240789413452%] [G loss: [array(0.9713189, dtype=float32), array(0.9713189, dtype=float32), array(0.3051892, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "109 [D loss: 0.9712324738502502, acc.: 30.595260858535767%] [G loss: [array(0.97246647, dtype=float32), array(0.97246647, dtype=float32), array(0.30525568, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "110 [D loss: 0.9724205732345581, acc.: 30.58706521987915%] [G loss: [array(0.9736862, dtype=float32), array(0.9736862, dtype=float32), array(0.3051802, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "111 [D loss: 0.9737036824226379, acc.: 30.537065863609314%] [G loss: [array(0.9749973, dtype=float32), array(0.9749973, dtype=float32), array(0.3046875, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "112 [D loss: 0.9749816060066223, acc.: 30.557245016098022%] [G loss: [array(0.97627974, dtype=float32), array(0.97627974, dtype=float32), array(0.30489492, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "113 [D loss: 0.9762164354324341, acc.: 30.577069520950317%] [G loss: [array(0.9774682, dtype=float32), array(0.9774682, dtype=float32), array(0.30509868, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "114 [D loss: 0.9775087833404541, acc.: 30.528467893600464%] [G loss: [array(0.9787882, dtype=float32), array(0.9787882, dtype=float32), array(0.30461955, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "115 [D loss: 0.9788106679916382, acc.: 30.45370578765869%] [G loss: [array(0.98008806, dtype=float32), array(0.98008806, dtype=float32), array(0.30387932, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "116 [D loss: 0.9800882339477539, acc.: 30.393609404563904%] [G loss: [array(0.9813475, dtype=float32), array(0.9813475, dtype=float32), array(0.30328527, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "117 [D loss: 0.9813635945320129, acc.: 30.307990312576294%] [G loss: [array(0.982607, dtype=float32), array(0.982607, dtype=float32), array(0.30243644, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "118 [D loss: 0.9825027585029602, acc.: 30.342242121696472%] [G loss: [array(0.9836903, dtype=float32), array(0.9836903, dtype=float32), array(0.30278364, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "119 [D loss: 0.9836798906326294, acc.: 30.24543523788452%] [G loss: [array(0.984889, dtype=float32), array(0.984889, dtype=float32), array(0.30182293, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "120 [D loss: 0.9848663210868835, acc.: 30.24081289768219%] [G loss: [array(0.9860544, dtype=float32), array(0.9860544, dtype=float32), array(0.301782, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "121 [D loss: 0.9859817028045654, acc.: 30.236268043518066%] [G loss: [array(0.98714584, dtype=float32), array(0.98714584, dtype=float32), array(0.3017418, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "122 [D loss: 0.9870961904525757, acc.: 30.25725483894348%] [G loss: [array(0.98828506, dtype=float32), array(0.98828506, dtype=float32), array(0.30195633, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "123 [D loss: 0.9881719350814819, acc.: 30.277901887893677%] [G loss: [array(0.98930997, dtype=float32), array(0.98930997, dtype=float32), array(0.30216733, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "124 [D loss: 0.9892659187316895, acc.: 30.248120427131653%] [G loss: [array(0.99043196, dtype=float32), array(0.99043196, dtype=float32), array(0.30187503, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "125 [D loss: 0.9902992248535156, acc.: 30.305784940719604%] [G loss: [array(0.9914431, dtype=float32), array(0.9914431, dtype=float32), array(0.30245537, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "126 [D loss: 0.9913983941078186, acc.: 30.288580060005188%] [G loss: [array(0.9925503, dtype=float32), array(0.9925503, dtype=float32), array(0.30228838, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "127 [D loss: 0.9924741983413696, acc.: 30.24718165397644%] [G loss: [array(0.9935719, dtype=float32), array(0.9935719, dtype=float32), array(0.30187988, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "128 [D loss: 0.9934561252593994, acc.: 30.230695009231567%] [G loss: [array(0.9945589, dtype=float32), array(0.9945589, dtype=float32), array(0.30171996, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "129 [D loss: 0.9945281147956848, acc.: 30.2024245262146%] [G loss: [array(0.9956498, dtype=float32), array(0.9956498, dtype=float32), array(0.3014423, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "130 [D loss: 0.995521068572998, acc.: 30.27018904685974%] [G loss: [array(0.99660414, dtype=float32), array(0.99660414, dtype=float32), array(0.3021231, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "131 [D loss: 0.9964348077774048, acc.: 30.33692240715027%] [G loss: [array(0.99750817, dtype=float32), array(0.99750817, dtype=float32), array(0.30279356, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "132 [D loss: 0.9973772764205933, acc.: 30.34380078315735%] [G loss: [array(0.9984489, dtype=float32), array(0.9984489, dtype=float32), array(0.30286655, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "133 [D loss: 0.9983615875244141, acc.: 30.303844809532166%] [G loss: [array(0.9994349, dtype=float32), array(0.9994349, dtype=float32), array(0.30247203, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "134 [D loss: 0.9993183612823486, acc.: 30.345651507377625%] [G loss: [array(1.0003756, dtype=float32), array(1.0003756, dtype=float32), array(0.30289352, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "135 [D loss: 1.0002617835998535, acc.: 30.32929301261902%] [G loss: [array(1.001314, dtype=float32), array(1.001314, dtype=float32), array(0.30273438, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "136 [D loss: 1.0011998414993286, acc.: 30.29032051563263%] [G loss: [array(1.0022291, dtype=float32), array(1.0022291, dtype=float32), array(0.30234945, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "137 [D loss: 1.0021295547485352, acc.: 30.319973826408386%] [G loss: [array(1.0031812, dtype=float32), array(1.0031812, dtype=float32), array(0.30264947, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "138 [D loss: 1.003081202507019, acc.: 30.32667636871338%] [G loss: [array(1.0041375, dtype=float32), array(1.0041375, dtype=float32), array(0.3027203, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "139 [D loss: 1.0039750337600708, acc.: 30.35564422607422%] [G loss: [array(1.005018, dtype=float32), array(1.005018, dtype=float32), array(0.30301338, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "140 [D loss: 1.0048840045928955, acc.: 30.38420081138611%] [G loss: [array(1.0058855, dtype=float32), array(1.0058855, dtype=float32), array(0.30330232, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "141 [D loss: 1.0057681798934937, acc.: 30.37928342819214%] [G loss: [array(1.006777, dtype=float32), array(1.006777, dtype=float32), array(0.30325705, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "142 [D loss: 1.006666898727417, acc.: 30.330651998519897%] [G loss: [array(1.0076535, dtype=float32), array(1.0076535, dtype=float32), array(0.30277535, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "143 [D loss: 1.0074920654296875, acc.: 30.315309762954712%] [G loss: [array(1.0084598, dtype=float32), array(1.0084598, dtype=float32), array(0.30262586, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "144 [D loss: 1.008333444595337, acc.: 30.30017614364624%] [G loss: [array(1.0093237, dtype=float32), array(1.0093237, dtype=float32), array(0.30247843, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "145 [D loss: 1.0091276168823242, acc.: 30.328133702278137%] [G loss: [array(1.0100797, dtype=float32), array(1.0100797, dtype=float32), array(0.30276114, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "146 [D loss: 1.009917140007019, acc.: 30.345064401626587%] [G loss: [array(1.0108746, dtype=float32), array(1.0108746, dtype=float32), array(0.30293366, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "147 [D loss: 1.010725736618042, acc.: 30.277156829833984%] [G loss: [array(1.0116545, dtype=float32), array(1.0116545, dtype=float32), array(0.30225927, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "148 [D loss: 1.0114927291870117, acc.: 30.283698439598083%] [G loss: [array(1.0124291, dtype=float32), array(1.0124291, dtype=float32), array(0.30232802, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "149 [D loss: 1.0122830867767334, acc.: 30.279716849327087%] [G loss: [array(1.0132287, dtype=float32), array(1.0132287, dtype=float32), array(0.30229166, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "150 [D loss: 1.0130746364593506, acc.: 30.27578890323639%] [G loss: [array(1.0140111, dtype=float32), array(1.0140111, dtype=float32), array(0.3022558, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "151 [D loss: 1.0138635635375977, acc.: 30.261611938476562%] [G loss: [array(1.0147988, dtype=float32), array(1.0147988, dtype=float32), array(0.3021176, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "152 [D loss: 1.014618158340454, acc.: 30.247625708580017%] [G loss: [array(1.0155165, dtype=float32), array(1.0155165, dtype=float32), array(0.3019812, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "153 [D loss: 1.0153098106384277, acc.: 30.28463125228882%] [G loss: [array(1.0162021, dtype=float32), array(1.0162021, dtype=float32), array(0.3023539, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "154 [D loss: 1.0160698890686035, acc.: 30.28077483177185%] [G loss: [array(1.017011, dtype=float32), array(1.017011, dtype=float32), array(0.30231854, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "155 [D loss: 1.016829013824463, acc.: 30.24686574935913%] [G loss: [array(1.0176998, dtype=float32), array(1.0176998, dtype=float32), array(0.30198318, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "156 [D loss: 1.0175459384918213, acc.: 30.203425884246826%] [G loss: [array(1.0184348, dtype=float32), array(1.0184348, dtype=float32), array(0.30155256, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "157 [D loss: 1.0182334184646606, acc.: 30.229869484901428%] [G loss: [array(1.01912, dtype=float32), array(1.01912, dtype=float32), array(0.30181962, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\n",
      "158 [D loss: 1.018959641456604, acc.: 30.24613857269287%] [G loss: [array(1.0198486, dtype=float32), array(1.0198486, dtype=float32), array(0.30198506, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "159 [D loss: 1.0196607112884521, acc.: 30.291545391082764%] [G loss: [array(1.0205503, dtype=float32), array(1.0205503, dtype=float32), array(0.30244142, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "160 [D loss: 1.0203667879104614, acc.: 30.297505855560303%] [G loss: [array(1.0212281, dtype=float32), array(1.0212281, dtype=float32), array(0.30250388, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "161 [D loss: 1.0210280418395996, acc.: 30.322712659835815%] [G loss: [array(1.0218925, dtype=float32), array(1.0218925, dtype=float32), array(0.30275849, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "162 [D loss: 1.0217111110687256, acc.: 30.270808935165405%] [G loss: [array(1.02255, dtype=float32), array(1.02255, dtype=float32), array(0.30224308, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "163 [D loss: 1.0224254131317139, acc.: 30.276787281036377%] [G loss: [array(1.023323, dtype=float32), array(1.023323, dtype=float32), array(0.30230564, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "164 [D loss: 1.0231022834777832, acc.: 30.320632457733154%] [G loss: [array(1.0239205, dtype=float32), array(1.0239205, dtype=float32), array(0.30274624, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "165 [D loss: 1.0237016677856445, acc.: 30.307382345199585%] [G loss: [array(1.0245078, dtype=float32), array(1.0245078, dtype=float32), array(0.30261672, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "166 [D loss: 1.024322271347046, acc.: 30.31303882598877%] [G loss: [array(1.0251728, dtype=float32), array(1.0251728, dtype=float32), array(0.3026759, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "167 [D loss: 1.0250024795532227, acc.: 30.318623781204224%] [G loss: [array(1.0258434, dtype=float32), array(1.0258434, dtype=float32), array(0.30273438, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "168 [D loss: 1.0256541967391968, acc.: 30.296361446380615%] [G loss: [array(1.0264704, dtype=float32), array(1.0264704, dtype=float32), array(0.3025148, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "169 [D loss: 1.0262683629989624, acc.: 30.301982164382935%] [G loss: [array(1.0270827, dtype=float32), array(1.0270827, dtype=float32), array(0.30257353, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "170 [D loss: 1.026926040649414, acc.: 30.280080437660217%] [G loss: [array(1.0277562, dtype=float32), array(1.0277562, dtype=float32), array(0.30235747, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "171 [D loss: 1.0275795459747314, acc.: 30.285727977752686%] [G loss: [array(1.0283993, dtype=float32), array(1.0283993, dtype=float32), array(0.3024164, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "172 [D loss: 1.0281779766082764, acc.: 30.318444967269897%] [G loss: [array(1.028971, dtype=float32), array(1.028971, dtype=float32), array(0.30274567, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "173 [D loss: 1.0287688970565796, acc.: 30.36876916885376%] [G loss: [array(1.0295827, dtype=float32), array(1.0295827, dtype=float32), array(0.30325073, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "174 [D loss: 1.029350996017456, acc.: 30.382752418518066%] [G loss: [array(1.0301366, dtype=float32), array(1.0301366, dtype=float32), array(0.30339286, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "175 [D loss: 1.0299737453460693, acc.: 30.36101460456848%] [G loss: [array(1.0307887, dtype=float32), array(1.0307887, dtype=float32), array(0.30317828, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "176 [D loss: 1.0306010246276855, acc.: 30.348363518714905%] [G loss: [array(1.0313944, dtype=float32), array(1.0313944, dtype=float32), array(0.3030544, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "177 [D loss: 1.0311849117279053, acc.: 30.371016263961792%] [G loss: [array(1.0319903, dtype=float32), array(1.0319903, dtype=float32), array(0.303283, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "178 [D loss: 1.0317858457565308, acc.: 30.36719262599945%] [G loss: [array(1.0325619, dtype=float32), array(1.0325619, dtype=float32), array(0.3032472, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "179 [D loss: 1.0323714017868042, acc.: 30.34602403640747%] [G loss: [array(1.0331278, dtype=float32), array(1.0331278, dtype=float32), array(0.3030382, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "180 [D loss: 1.032935619354248, acc.: 30.325090885162354%] [G loss: [array(1.0336931, dtype=float32), array(1.0336931, dtype=float32), array(0.3028315, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "181 [D loss: 1.0334758758544922, acc.: 30.330181121826172%] [G loss: [array(1.034248, dtype=float32), array(1.034248, dtype=float32), array(0.3028846, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "182 [D loss: 1.0340180397033691, acc.: 30.360865592956543%] [G loss: [array(1.0347791, dtype=float32), array(1.0347791, dtype=float32), array(0.3031933, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "183 [D loss: 1.0345568656921387, acc.: 30.382710695266724%] [G loss: [array(1.0353208, dtype=float32), array(1.0353208, dtype=float32), array(0.30341372, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "184 [D loss: 1.0351338386535645, acc.: 30.353575944900513%] [G loss: [array(1.035879, dtype=float32), array(1.035879, dtype=float32), array(0.303125, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "185 [D loss: 1.0356483459472656, acc.: 30.366811156272888%] [G loss: [array(1.0363984, dtype=float32), array(1.0363984, dtype=float32), array(0.3032594, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\n",
      "186 [D loss: 1.0361874103546143, acc.: 30.36317527294159%] [G loss: [array(1.0369271, dtype=float32), array(1.0369271, dtype=float32), array(0.30322528, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "187 [D loss: 1.0367250442504883, acc.: 30.376219749450684%] [G loss: [array(1.0374719, dtype=float32), array(1.0374719, dtype=float32), array(0.3033577, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "188 [D loss: 1.037235975265503, acc.: 30.40568232536316%] [G loss: [array(1.0379568, dtype=float32), array(1.0379568, dtype=float32), array(0.3036541, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "189 [D loss: 1.0377545356750488, acc.: 30.434834957122803%] [G loss: [array(1.0384936, dtype=float32), array(1.0384936, dtype=float32), array(0.3039474, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "190 [D loss: 1.0382834672927856, acc.: 30.422726273536682%] [G loss: [array(1.0389919, dtype=float32), array(1.0389919, dtype=float32), array(0.30382854, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "191 [D loss: 1.0387766361236572, acc.: 30.402594804763794%] [G loss: [array(1.039479, dtype=float32), array(1.039479, dtype=float32), array(0.30362958, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "192 [D loss: 1.0392717123031616, acc.: 30.398884415626526%] [G loss: [array(1.0399841, dtype=float32), array(1.0399841, dtype=float32), array(0.3035946, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "193 [D loss: 1.0397822856903076, acc.: 30.38714826107025%] [G loss: [array(1.0404994, dtype=float32), array(1.0404994, dtype=float32), array(0.3034794, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "194 [D loss: 1.0402766466140747, acc.: 30.383554100990295%] [G loss: [array(1.0409709, dtype=float32), array(1.0409709, dtype=float32), array(0.30344552, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "195 [D loss: 1.0407841205596924, acc.: 30.364033579826355%] [G loss: [array(1.0414894, dtype=float32), array(1.0414894, dtype=float32), array(0.30325255, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "196 [D loss: 1.041269063949585, acc.: 30.368536710739136%] [G loss: [array(1.0419614, dtype=float32), array(1.0419614, dtype=float32), array(0.3032995, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "197 [D loss: 1.0417568683624268, acc.: 30.372995138168335%] [G loss: [array(1.0424445, dtype=float32), array(1.0424445, dtype=float32), array(0.30334595, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "198 [D loss: 1.042283058166504, acc.: 30.361685156822205%] [G loss: [array(1.0429987, dtype=float32), array(1.0429987, dtype=float32), array(0.30323493, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "199 [D loss: 1.0428032875061035, acc.: 30.34266233444214%] [G loss: [array(1.0434933, dtype=float32), array(1.0434933, dtype=float32), array(0.30304688, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "200 [D loss: 1.0432963371276855, acc.: 30.362749099731445%] [G loss: [array(1.0439935, dtype=float32), array(1.0439935, dtype=float32), array(0.30324936, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "201 [D loss: 1.0437591075897217, acc.: 30.382636189460754%] [G loss: [array(1.0444242, dtype=float32), array(1.0444242, dtype=float32), array(0.30344987, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "202 [D loss: 1.0442321300506592, acc.: 30.363795161247253%] [G loss: [array(1.0449193, dtype=float32), array(1.0449193, dtype=float32), array(0.30326355, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "203 [D loss: 1.0447146892547607, acc.: 30.37581443786621%] [G loss: [array(1.0453942, dtype=float32), array(1.0453942, dtype=float32), array(0.30338544, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "204 [D loss: 1.0452113151550293, acc.: 30.36482036113739%] [G loss: [array(1.0459043, dtype=float32), array(1.0459043, dtype=float32), array(0.30327743, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "205 [D loss: 1.0457037687301636, acc.: 30.369120836257935%] [G loss: [array(1.0463871, dtype=float32), array(1.0463871, dtype=float32), array(0.30332223, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "206 [D loss: 1.0461764335632324, acc.: 30.358266830444336%] [G loss: [array(1.0468491, dtype=float32), array(1.0468491, dtype=float32), array(0.30321556, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "207 [D loss: 1.0466409921646118, acc.: 30.347517132759094%] [G loss: [array(1.0473074, dtype=float32), array(1.0473074, dtype=float32), array(0.30310997, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "208 [D loss: 1.0470831394195557, acc.: 30.32938838005066%] [G loss: [array(1.0477147, dtype=float32), array(1.0477147, dtype=float32), array(0.30293065, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "209 [D loss: 1.0475046634674072, acc.: 30.311429500579834%] [G loss: [array(1.0481592, dtype=float32), array(1.0481592, dtype=float32), array(0.302753, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "210 [D loss: 1.0479514598846436, acc.: 30.315881967544556%] [G loss: [array(1.0486007, dtype=float32), array(1.0486007, dtype=float32), array(0.3027992, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "211 [D loss: 1.0483887195587158, acc.: 30.31291365623474%] [G loss: [array(1.049047, dtype=float32), array(1.049047, dtype=float32), array(0.30277124, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "212 [D loss: 1.0487881898880005, acc.: 30.368727445602417%] [G loss: [array(1.0494139, dtype=float32), array(1.0494139, dtype=float32), array(0.3033304, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "213 [D loss: 1.0492150783538818, acc.: 30.365538597106934%] [G loss: [array(1.049867, dtype=float32), array(1.049867, dtype=float32), array(0.30330023, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "214 [D loss: 1.0496747493743896, acc.: 30.34055233001709%] [G loss: [array(1.0503286, dtype=float32), array(1.0503286, dtype=float32), array(0.30305234, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "215 [D loss: 1.0501238107681274, acc.: 30.30855655670166%] [G loss: [array(1.0507653, dtype=float32), array(1.0507653, dtype=float32), array(0.30273438, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "216 [D loss: 1.050569772720337, acc.: 30.276858806610107%] [G loss: [array(1.0512123, dtype=float32), array(1.0512123, dtype=float32), array(0.30241936, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "217 [D loss: 1.0510268211364746, acc.: 30.274149775505066%] [G loss: [array(1.051669, dtype=float32), array(1.051669, dtype=float32), array(0.3023939, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "218 [D loss: 1.0514329671859741, acc.: 30.307185649871826%] [G loss: [array(1.0520506, dtype=float32), array(1.0520506, dtype=float32), array(0.30272546, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "219 [D loss: 1.051823377609253, acc.: 30.325692892074585%] [G loss: [array(1.052442, dtype=float32), array(1.052442, dtype=float32), array(0.3029119, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "220 [D loss: 1.0522546768188477, acc.: 30.301570892333984%] [G loss: [array(1.0528909, dtype=float32), array(1.0528909, dtype=float32), array(0.30267254, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "221 [D loss: 1.0526704788208008, acc.: 30.31993806362152%] [G loss: [array(1.0533035, dtype=float32), array(1.0533035, dtype=float32), array(0.30285755, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "222 [D loss: 1.0530929565429688, acc.: 30.324113368988037%] [G loss: [array(1.0537058, dtype=float32), array(1.0537058, dtype=float32), array(0.3029008, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "223 [D loss: 1.0534915924072266, acc.: 30.335235595703125%] [G loss: [array(1.0541097, dtype=float32), array(1.0541097, dtype=float32), array(0.3030134, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "224 [D loss: 1.0539226531982422, acc.: 30.332350730895996%] [G loss: [array(1.0545611, dtype=float32), array(1.0545611, dtype=float32), array(0.30298612, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "225 [D loss: 1.0543737411499023, acc.: 30.31565248966217%] [G loss: [array(1.0549948, dtype=float32), array(1.0549948, dtype=float32), array(0.3028208, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "226 [D loss: 1.0548250675201416, acc.: 30.30599057674408%] [G loss: [array(1.0554607, dtype=float32), array(1.0554607, dtype=float32), array(0.30272576, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "227 [D loss: 1.0552555322647095, acc.: 30.310136079788208%] [G loss: [array(1.0558847, dtype=float32), array(1.0558847, dtype=float32), array(0.30276865, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "228 [D loss: 1.0557007789611816, acc.: 30.307412147521973%] [G loss: [array(1.0563315, dtype=float32), array(1.0563315, dtype=float32), array(0.3027429, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "229 [D loss: 1.0561461448669434, acc.: 30.291113257408142%] [G loss: [array(1.0567666, dtype=float32), array(1.0567666, dtype=float32), array(0.30258152, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "230 [D loss: 1.0565910339355469, acc.: 30.274954438209534%] [G loss: [array(1.0572058, dtype=float32), array(1.0572058, dtype=float32), array(0.30242154, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "231 [D loss: 1.0569870471954346, acc.: 30.285900831222534%] [G loss: [array(1.0575877, dtype=float32), array(1.0575877, dtype=float32), array(0.30253232, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "232 [D loss: 1.0574119091033936, acc.: 30.243054032325745%] [G loss: [array(1.0580163, dtype=float32), array(1.0580163, dtype=float32), array(0.3021057, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "233 [D loss: 1.0578269958496094, acc.: 30.254045128822327%] [G loss: [array(1.0584401, dtype=float32), array(1.0584401, dtype=float32), array(0.3022169, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "234 [D loss: 1.058231234550476, acc.: 30.271601676940918%] [G loss: [array(1.0588119, dtype=float32), array(1.0588119, dtype=float32), array(0.30239362, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "235 [D loss: 1.0585901737213135, acc.: 30.275750160217285%] [G loss: [array(1.0591745, dtype=float32), array(1.0591745, dtype=float32), array(0.30243644, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "236 [D loss: 1.0589630603790283, acc.: 30.293065309524536%] [G loss: [array(1.0595546, dtype=float32), array(1.0595546, dtype=float32), array(0.30261078, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "237 [D loss: 1.059382677078247, acc.: 30.2839457988739%] [G loss: [array(1.0599941, dtype=float32), array(1.0599941, dtype=float32), array(0.30252102, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\n",
      "238 [D loss: 1.0597662925720215, acc.: 30.32725751399994%] [G loss: [array(1.0603455, dtype=float32), array(1.0603455, dtype=float32), array(0.302955, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "239 [D loss: 1.060163140296936, acc.: 30.32459020614624%] [G loss: [array(1.0607626, dtype=float32), array(1.0607626, dtype=float32), array(0.3029297, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "240 [D loss: 1.060551404953003, acc.: 30.315452814102173%] [G loss: [array(1.0611186, dtype=float32), array(1.0611186, dtype=float32), array(0.30283976, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "241 [D loss: 1.0609134435653687, acc.: 30.325782299041748%] [G loss: [array(1.0614947, dtype=float32), array(1.0614947, dtype=float32), array(0.3029442, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "242 [D loss: 1.0612702369689941, acc.: 30.31671643257141%] [G loss: [array(1.0618271, dtype=float32), array(1.0618271, dtype=float32), array(0.30285496, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "243 [D loss: 1.0616188049316406, acc.: 30.32054603099823%] [G loss: [array(1.0621945, dtype=float32), array(1.0621945, dtype=float32), array(0.30289447, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "244 [D loss: 1.0620059967041016, acc.: 30.30518889427185%] [G loss: [array(1.0625983, dtype=float32), array(1.0625983, dtype=float32), array(0.30274233, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "245 [D loss: 1.062417984008789, acc.: 30.309036374092102%] [G loss: [array(1.063011, dtype=float32), array(1.063011, dtype=float32), array(0.30278203, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "246 [D loss: 1.0628330707550049, acc.: 30.31284809112549%] [G loss: [array(1.063428, dtype=float32), array(1.063428, dtype=float32), array(0.30282137, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "247 [D loss: 1.0632379055023193, acc.: 30.322936177253723%] [G loss: [array(1.0638129, dtype=float32), array(1.0638129, dtype=float32), array(0.30292338, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "248 [D loss: 1.063615083694458, acc.: 30.339229106903076%] [G loss: [array(1.0641822, dtype=float32), array(1.0641822, dtype=float32), array(0.30308738, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "249 [D loss: 1.0639806985855103, acc.: 30.355387926101685%] [G loss: [array(1.0645471, dtype=float32), array(1.0645471, dtype=float32), array(0.30325, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "250 [D loss: 1.0643458366394043, acc.: 30.327796936035156%] [G loss: [array(1.0648938, dtype=float32), array(1.0648938, dtype=float32), array(0.3029756, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "251 [D loss: 1.0646717548370361, acc.: 30.31284213066101%] [G loss: [array(1.0652121, dtype=float32), array(1.0652121, dtype=float32), array(0.3028274, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "252 [D loss: 1.06504487991333, acc.: 30.304184556007385%] [G loss: [array(1.0656058, dtype=float32), array(1.0656058, dtype=float32), array(0.3027421, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "253 [D loss: 1.0653849840164185, acc.: 30.301755666732788%] [G loss: [array(1.0659169, dtype=float32), array(1.0659169, dtype=float32), array(0.302719, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "254 [D loss: 1.0657320022583008, acc.: 30.293208360671997%] [G loss: [array(1.0662913, dtype=float32), array(1.0662913, dtype=float32), array(0.30263478, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "255 [D loss: 1.0660936832427979, acc.: 30.284732580184937%] [G loss: [array(1.0666443, dtype=float32), array(1.0666443, dtype=float32), array(0.30255127, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "256 [D loss: 1.0664376020431519, acc.: 30.27631938457489%] [G loss: [array(1.0669783, dtype=float32), array(1.0669783, dtype=float32), array(0.3024684, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "257 [D loss: 1.0667493343353271, acc.: 30.298280715942383%] [G loss: [array(1.0672812, dtype=float32), array(1.0672812, dtype=float32), array(0.30268896, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "258 [D loss: 1.0670859813690186, acc.: 30.295920372009277%] [G loss: [array(1.0676256, dtype=float32), array(1.0676256, dtype=float32), array(0.3026665, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "259 [D loss: 1.0674185752868652, acc.: 30.335688591003418%] [G loss: [array(1.0679647, dtype=float32), array(1.0679647, dtype=float32), array(0.3030649, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "260 [D loss: 1.0677706003189087, acc.: 30.33919334411621%] [G loss: [array(1.0683064, dtype=float32), array(1.0683064, dtype=float32), array(0.30310106, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "261 [D loss: 1.068095326423645, acc.: 30.3367018699646%] [G loss: [array(1.0686237, dtype=float32), array(1.0686237, dtype=float32), array(0.30307728, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "262 [D loss: 1.0684353113174438, acc.: 30.28665781021118%] [G loss: [array(1.0689588, dtype=float32), array(1.0689588, dtype=float32), array(0.30257842, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "263 [D loss: 1.0687508583068848, acc.: 30.28438687324524%] [G loss: [array(1.0692677, dtype=float32), array(1.0692677, dtype=float32), array(0.3025568, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "264 [D loss: 1.0690689086914062, acc.: 30.270329117774963%] [G loss: [array(1.0695899, dtype=float32), array(1.0695899, dtype=float32), array(0.30241746, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "265 [D loss: 1.069392442703247, acc.: 30.279895663261414%] [G loss: [array(1.0699346, dtype=float32), array(1.0699346, dtype=float32), array(0.3025141, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "266 [D loss: 1.0697460174560547, acc.: 30.27181625366211%] [G loss: [array(1.0702639, dtype=float32), array(1.0702639, dtype=float32), array(0.30243447, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "267 [D loss: 1.0700587034225464, acc.: 30.27547001838684%] [G loss: [array(1.0705718, dtype=float32), array(1.0705718, dtype=float32), array(0.30247203, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "268 [D loss: 1.0703604221343994, acc.: 30.284911394119263%] [G loss: [array(1.0708714, dtype=float32), array(1.0708714, dtype=float32), array(0.30256736, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "269 [D loss: 1.0706872940063477, acc.: 30.247938632965088%] [G loss: [array(1.0711954, dtype=float32), array(1.0711954, dtype=float32), array(0.30219907, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "270 [D loss: 1.070996642112732, acc.: 30.263185501098633%] [G loss: [array(1.0715107, dtype=float32), array(1.0715107, dtype=float32), array(0.3023524, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "271 [D loss: 1.0713160037994385, acc.: 30.26106357574463%] [G loss: [array(1.0718328, dtype=float32), array(1.0718328, dtype=float32), array(0.30233225, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "272 [D loss: 1.0716438293457031, acc.: 30.258962512016296%] [G loss: [array(1.0721647, dtype=float32), array(1.0721647, dtype=float32), array(0.30231228, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "273 [D loss: 1.0719598531723022, acc.: 30.25687336921692%] [G loss: [array(1.072466, dtype=float32), array(1.072466, dtype=float32), array(0.30229244, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "274 [D loss: 1.0722532272338867, acc.: 30.277550220489502%] [G loss: [array(1.0727571, dtype=float32), array(1.0727571, dtype=float32), array(0.3025, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "275 [D loss: 1.0725704431533813, acc.: 30.281078815460205%] [G loss: [array(1.0730889, dtype=float32), array(1.0730889, dtype=float32), array(0.30253625, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "276 [D loss: 1.0728859901428223, acc.: 30.301517248153687%] [G loss: [array(1.0733918, dtype=float32), array(1.0733918, dtype=float32), array(0.30274144, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "277 [D loss: 1.0731821060180664, acc.: 30.32180666923523%] [G loss: [array(1.0736827, dtype=float32), array(1.0736827, dtype=float32), array(0.30294514, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "278 [D loss: 1.0734800100326538, acc.: 30.336350202560425%] [G loss: [array(1.0739727, dtype=float32), array(1.0739727, dtype=float32), array(0.3030914, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "279 [D loss: 1.0737614631652832, acc.: 30.317270755767822%] [G loss: [array(1.074236, dtype=float32), array(1.074236, dtype=float32), array(0.30290177, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "280 [D loss: 1.0740294456481934, acc.: 30.331724882125854%] [G loss: [array(1.0745305, dtype=float32), array(1.0745305, dtype=float32), array(0.30304715, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "281 [D loss: 1.074324607849121, acc.: 30.33498525619507%] [G loss: [array(1.0748183, dtype=float32), array(1.0748183, dtype=float32), array(0.30308068, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "282 [D loss: 1.0746123790740967, acc.: 30.32163977622986%] [G loss: [array(1.0751024, dtype=float32), array(1.0751024, dtype=float32), array(0.30294833, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "283 [D loss: 1.074908971786499, acc.: 30.330419540405273%] [G loss: [array(1.0754113, dtype=float32), array(1.0754113, dtype=float32), array(0.30303696, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "284 [D loss: 1.075221061706543, acc.: 30.350112915039062%] [G loss: [array(1.0757264, dtype=float32), array(1.0757264, dtype=float32), array(0.30323467, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "285 [D loss: 1.0755031108856201, acc.: 30.353260040283203%] [G loss: [array(1.0759803, dtype=float32), array(1.0759803, dtype=float32), array(0.30326703, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "286 [D loss: 1.0757664442062378, acc.: 30.35638928413391%] [G loss: [array(1.0762476, dtype=float32), array(1.0762476, dtype=float32), array(0.30329922, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n",
      "287 [D loss: 1.0760449171066284, acc.: 30.35406470298767%] [G loss: [array(1.076532, dtype=float32), array(1.076532, dtype=float32), array(0.30327693, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "288 [D loss: 1.0763318538665771, acc.: 30.378812551498413%] [G loss: [array(1.0768232, dtype=float32), array(1.0768232, dtype=float32), array(0.3035251, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "289 [D loss: 1.07661771774292, acc.: 30.397993326187134%] [G loss: [array(1.0770968, dtype=float32), array(1.0770968, dtype=float32), array(0.30371767, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "290 [D loss: 1.076906681060791, acc.: 30.38480281829834%] [G loss: [array(1.077383, dtype=float32), array(1.077383, dtype=float32), array(0.30358678, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "291 [D loss: 1.0771898031234741, acc.: 30.387771129608154%] [G loss: [array(1.0776688, dtype=float32), array(1.0776688, dtype=float32), array(0.3036173, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "292 [D loss: 1.0774805545806885, acc.: 30.39071559906006%] [G loss: [array(1.0779696, dtype=float32), array(1.0779696, dtype=float32), array(0.3036476, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "293 [D loss: 1.0777864456176758, acc.: 30.388319492340088%] [G loss: [array(1.0782771, dtype=float32), array(1.0782771, dtype=float32), array(0.30362457, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "294 [D loss: 1.0780627727508545, acc.: 30.407145619392395%] [G loss: [array(1.0785285, dtype=float32), array(1.0785285, dtype=float32), array(0.30381355, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "295 [D loss: 1.078354835510254, acc.: 30.388861894607544%] [G loss: [array(1.0788375, dtype=float32), array(1.0788375, dtype=float32), array(0.30363175, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "296 [D loss: 1.0786508321762085, acc.: 30.38650155067444%] [G loss: [array(1.0791337, dtype=float32), array(1.0791337, dtype=float32), array(0.303609, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "297 [D loss: 1.0789272785186768, acc.: 30.405142903327942%] [G loss: [array(1.0793992, dtype=float32), array(1.0793992, dtype=float32), array(0.30379614, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "298 [D loss: 1.079207181930542, acc.: 30.392280220985413%] [G loss: [array(1.0796753, dtype=float32), array(1.0796753, dtype=float32), array(0.30366847, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "299 [D loss: 1.0794676542282104, acc.: 30.384713411331177%] [G loss: [array(1.079929, dtype=float32), array(1.079929, dtype=float32), array(0.30359372, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "300 [D loss: 1.079721212387085, acc.: 30.392789840698242%] [G loss: [array(1.0801845, dtype=float32), array(1.0801845, dtype=float32), array(0.30367523, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "301 [D loss: 1.0799806118011475, acc.: 30.405986309051514%] [G loss: [array(1.0804435, dtype=float32), array(1.0804435, dtype=float32), array(0.30380794, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "302 [D loss: 1.080236792564392, acc.: 30.393290519714355%] [G loss: [array(1.0806826, dtype=float32), array(1.0806826, dtype=float32), array(0.30368194, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "303 [D loss: 1.0804870128631592, acc.: 30.385822057724%] [G loss: [array(1.0809404, dtype=float32), array(1.0809404, dtype=float32), array(0.30360815, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "304 [D loss: 1.0807418823242188, acc.: 30.37327527999878%] [G loss: [array(1.081199, dtype=float32), array(1.081199, dtype=float32), array(0.3034836, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "305 [D loss: 1.0809886455535889, acc.: 30.371034145355225%] [G loss: [array(1.0814263, dtype=float32), array(1.0814263, dtype=float32), array(0.303462, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "306 [D loss: 1.0812339782714844, acc.: 30.35861849784851%] [G loss: [array(1.0816821, dtype=float32), array(1.0816821, dtype=float32), array(0.30333877, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "307 [D loss: 1.0815075635910034, acc.: 30.351358652114868%] [G loss: [array(1.0819703, dtype=float32), array(1.0819703, dtype=float32), array(0.30326703, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "308 [D loss: 1.0817935466766357, acc.: 30.323904752731323%] [G loss: [array(1.0822469, dtype=float32), array(1.0822469, dtype=float32), array(0.30299354, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "309 [D loss: 1.082079291343689, acc.: 30.311763286590576%] [G loss: [array(1.0825433, dtype=float32), array(1.0825433, dtype=float32), array(0.302873, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "310 [D loss: 1.0823478698730469, acc.: 30.329865217208862%] [G loss: [array(1.0827968, dtype=float32), array(1.0827968, dtype=float32), array(0.30305466, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "311 [D loss: 1.0825979709625244, acc.: 30.3227961063385%] [G loss: [array(1.0830405, dtype=float32), array(1.0830405, dtype=float32), array(0.30298477, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "312 [D loss: 1.0828571319580078, acc.: 30.335751175880432%] [G loss: [array(1.0833061, dtype=float32), array(1.0833061, dtype=float32), array(0.303115, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "313 [D loss: 1.0831485986709595, acc.: 30.303803086280823%] [G loss: [array(1.0836123, dtype=float32), array(1.0836123, dtype=float32), array(0.30279657, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "314 [D loss: 1.083397388458252, acc.: 30.32170534133911%] [G loss: [array(1.0838388, dtype=float32), array(1.0838388, dtype=float32), array(0.3029762, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "315 [D loss: 1.0836272239685059, acc.: 30.33454120159149%] [G loss: [array(1.0840616, dtype=float32), array(1.0840616, dtype=float32), array(0.30310524, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "316 [D loss: 1.0838923454284668, acc.: 30.32262921333313%] [G loss: [array(1.0843475, dtype=float32), array(1.0843475, dtype=float32), array(0.30298698, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "317 [D loss: 1.0841293334960938, acc.: 30.350136756896973%] [G loss: [array(1.0845695, dtype=float32), array(1.0845695, dtype=float32), array(0.30326256, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "318 [D loss: 1.0843850374221802, acc.: 30.333352088928223%] [G loss: [array(1.0848207, dtype=float32), array(1.0848207, dtype=float32), array(0.30309564, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "319 [D loss: 1.0846221446990967, acc.: 30.331331491470337%] [G loss: [array(1.0850565, dtype=float32), array(1.0850565, dtype=float32), array(0.30307618, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "320 [D loss: 1.0848777294158936, acc.: 30.334198474884033%] [G loss: [array(1.0853215, dtype=float32), array(1.0853215, dtype=float32), array(0.30310553, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "321 [D loss: 1.0851325988769531, acc.: 30.322474241256714%] [G loss: [array(1.0855564, dtype=float32), array(1.0855564, dtype=float32), array(0.30298913, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "322 [D loss: 1.085353136062622, acc.: 30.325347185134888%] [G loss: [array(1.0857868, dtype=float32), array(1.0857868, dtype=float32), array(0.30301857, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "323 [D loss: 1.0856140851974487, acc.: 30.318552255630493%] [G loss: [array(1.0860574, dtype=float32), array(1.0860574, dtype=float32), array(0.3029514, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "324 [D loss: 1.0858690738677979, acc.: 30.326229333877563%] [G loss: [array(1.0862973, dtype=float32), array(1.0862973, dtype=float32), array(0.30302885, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "325 [D loss: 1.0861111879348755, acc.: 30.314677953720093%] [G loss: [array(1.0865306, dtype=float32), array(1.0865306, dtype=float32), array(0.3029141, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "326 [D loss: 1.0863533020019531, acc.: 30.3079754114151%] [G loss: [array(1.0867932, dtype=float32), array(1.0867932, dtype=float32), array(0.30284786, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "327 [D loss: 1.0866150856018066, acc.: 30.310848355293274%] [G loss: [array(1.0870454, dtype=float32), array(1.0870454, dtype=float32), array(0.30287728, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "328 [D loss: 1.0868778228759766, acc.: 30.30419945716858%] [G loss: [array(1.0873177, dtype=float32), array(1.0873177, dtype=float32), array(0.30281156, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "329 [D loss: 1.0871386528015137, acc.: 30.307066440582275%] [G loss: [array(1.0875609, dtype=float32), array(1.0875609, dtype=float32), array(0.30284092, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "330 [D loss: 1.0873682498931885, acc.: 30.305194854736328%] [G loss: [array(1.0877806, dtype=float32), array(1.0877806, dtype=float32), array(0.3028229, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "331 [D loss: 1.0876023769378662, acc.: 30.293914675712585%] [G loss: [array(1.088028, dtype=float32), array(1.088028, dtype=float32), array(0.30271086, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "332 [D loss: 1.0878359079360962, acc.: 30.30148148536682%] [G loss: [array(1.0882479, dtype=float32), array(1.0882479, dtype=float32), array(0.30278715, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "333 [D loss: 1.0880461931228638, acc.: 30.304324626922607%] [G loss: [array(1.0884483, dtype=float32), array(1.0884483, dtype=float32), array(0.30281624, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "334 [D loss: 1.0882554054260254, acc.: 30.30714988708496%] [G loss: [array(1.0886785, dtype=float32), array(1.0886785, dtype=float32), array(0.30284515, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "335 [D loss: 1.088503122329712, acc.: 30.291342735290527%] [G loss: [array(1.0889173, dtype=float32), array(1.0889173, dtype=float32), array(0.30268788, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "336 [D loss: 1.088724970817566, acc.: 30.284908413887024%] [G loss: [array(1.0891346, dtype=float32), array(1.0891346, dtype=float32), array(0.30262426, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "337 [D loss: 1.088944673538208, acc.: 30.315524339675903%] [G loss: [array(1.0893617, dtype=float32), array(1.0893617, dtype=float32), array(0.30293086, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "338 [D loss: 1.0891754627227783, acc.: 30.32289445400238%] [G loss: [array(1.0895905, dtype=float32), array(1.0895905, dtype=float32), array(0.30300516, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "339 [D loss: 1.0893940925598145, acc.: 30.339419841766357%] [G loss: [array(1.0898045, dtype=float32), array(1.0898045, dtype=float32), array(0.30317095, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "340 [D loss: 1.0896247625350952, acc.: 30.33292293548584%] [G loss: [array(1.0900366, dtype=float32), array(1.0900366, dtype=float32), array(0.30310667, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "341 [D loss: 1.0898412466049194, acc.: 30.344748497009277%] [G loss: [array(1.0902506, dtype=float32), array(1.0902506, dtype=float32), array(0.30322552, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "342 [D loss: 1.0900741815567017, acc.: 30.356508493423462%] [G loss: [array(1.0904955, dtype=float32), array(1.0904955, dtype=float32), array(0.30334368, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "343 [D loss: 1.0903105735778809, acc.: 30.354559421539307%] [G loss: [array(1.0907191, dtype=float32), array(1.0907191, dtype=float32), array(0.30332485, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "344 [D loss: 1.090543508529663, acc.: 30.348095297813416%] [G loss: [array(1.0909562, dtype=float32), array(1.0909562, dtype=float32), array(0.3032609, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "345 [D loss: 1.0907658338546753, acc.: 30.355221033096313%] [G loss: [array(1.0911741, dtype=float32), array(1.0911741, dtype=float32), array(0.30333272, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "346 [D loss: 1.0909711122512817, acc.: 30.357801914215088%] [G loss: [array(1.091368, dtype=float32), array(1.091368, dtype=float32), array(0.30335915, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "347 [D loss: 1.091181993484497, acc.: 30.387327075004578%] [G loss: [array(1.0915952, dtype=float32), array(1.0915952, dtype=float32), array(0.30365482, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\n",
      "348 [D loss: 1.0914034843444824, acc.: 30.389803647994995%] [G loss: [array(1.0918015, dtype=float32), array(1.0918015, dtype=float32), array(0.30368018, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "349 [D loss: 1.0916404724121094, acc.: 30.369922518730164%] [G loss: [array(1.0920411, dtype=float32), array(1.0920411, dtype=float32), array(0.30348215, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "350 [D loss: 1.0918562412261963, acc.: 30.372431874275208%] [G loss: [array(1.092248, dtype=float32), array(1.092248, dtype=float32), array(0.30350783, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "351 [D loss: 1.0920593738555908, acc.: 30.357158184051514%] [G loss: [array(1.0924486, dtype=float32), array(1.0924486, dtype=float32), array(0.30335584, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "352 [D loss: 1.092262864112854, acc.: 30.355259776115417%] [G loss: [array(1.0926572, dtype=float32), array(1.0926572, dtype=float32), array(0.30333745, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "353 [D loss: 1.0924415588378906, acc.: 30.353373289108276%] [G loss: [array(1.0928057, dtype=float32), array(1.0928057, dtype=float32), array(0.30331922, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "354 [D loss: 1.0926144123077393, acc.: 30.35149574279785%] [G loss: [array(1.092996, dtype=float32), array(1.092996, dtype=float32), array(0.30330107, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "355 [D loss: 1.0928231477737427, acc.: 30.345237255096436%] [G loss: [array(1.0932242, dtype=float32), array(1.0932242, dtype=float32), array(0.3032391, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "356 [D loss: 1.0930593013763428, acc.: 30.339014530181885%] [G loss: [array(1.0934639, dtype=float32), array(1.0934639, dtype=float32), array(0.30317754, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "357 [D loss: 1.0932700634002686, acc.: 30.341559648513794%] [G loss: [array(1.0936489, dtype=float32), array(1.0936489, dtype=float32), array(0.30320358, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "358 [D loss: 1.0934478044509888, acc.: 30.352801084518433%] [G loss: [array(1.0938337, dtype=float32), array(1.0938337, dtype=float32), array(0.3033165, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "359 [D loss: 1.0936530828475952, acc.: 30.35529851913452%] [G loss: [array(1.0940408, dtype=float32), array(1.0940408, dtype=float32), array(0.303342, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "360 [D loss: 1.093858003616333, acc.: 30.353444814682007%] [G loss: [array(1.094231, dtype=float32), array(1.094231, dtype=float32), array(0.3033241, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "361 [D loss: 1.0940518379211426, acc.: 30.338647961616516%] [G loss: [array(1.0944303, dtype=float32), array(1.0944303, dtype=float32), array(0.30317682, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "362 [D loss: 1.0942517518997192, acc.: 30.328238010406494%] [G loss: [array(1.0946349, dtype=float32), array(1.0946349, dtype=float32), array(0.30307335, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "363 [D loss: 1.0944602489471436, acc.: 30.326473712921143%] [G loss: [array(1.0948435, dtype=float32), array(1.0948435, dtype=float32), array(0.30305633, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "364 [D loss: 1.094637155532837, acc.: 30.34185767173767%] [G loss: [array(1.0950143, dtype=float32), array(1.0950143, dtype=float32), array(0.30321062, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "365 [D loss: 1.094839334487915, acc.: 30.331525206565857%] [G loss: [array(1.09522, dtype=float32), array(1.09522, dtype=float32), array(0.30310792, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "366 [D loss: 1.0950415134429932, acc.: 30.32976984977722%] [G loss: [array(1.0954251, dtype=float32), array(1.0954251, dtype=float32), array(0.30309093, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "367 [D loss: 1.095231294631958, acc.: 30.349266529083252%] [G loss: [array(1.095616, dtype=float32), array(1.095616, dtype=float32), array(0.30328634, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "368 [D loss: 1.0954411029815674, acc.: 30.338996648788452%] [G loss: [array(1.0958217, dtype=float32), array(1.0958217, dtype=float32), array(0.3031843, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "369 [D loss: 1.095630407333374, acc.: 30.349913239479065%] [G loss: [array(1.0960076, dtype=float32), array(1.0960076, dtype=float32), array(0.3032939, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "370 [D loss: 1.0958242416381836, acc.: 30.356556177139282%] [G loss: [array(1.0961989, dtype=float32), array(1.0961989, dtype=float32), array(0.30336085, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "371 [D loss: 1.0960285663604736, acc.: 30.35895824432373%] [G loss: [array(1.0964111, dtype=float32), array(1.0964111, dtype=float32), array(0.3033854, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "372 [D loss: 1.0962353944778442, acc.: 30.3320050239563%] [G loss: [array(1.0966011, dtype=float32), array(1.0966011, dtype=float32), array(0.30311662, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "373 [D loss: 1.09641695022583, acc.: 30.35118579864502%] [G loss: [array(1.0967904, dtype=float32), array(1.0967904, dtype=float32), array(0.3033088, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "374 [D loss: 1.0965893268585205, acc.: 30.370259284973145%] [G loss: [array(1.0969574, dtype=float32), array(1.0969574, dtype=float32), array(0.3035, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "375 [D loss: 1.0967803001403809, acc.: 30.360126495361328%] [G loss: [array(1.0971488, dtype=float32), array(1.0971488, dtype=float32), array(0.30339926, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "376 [D loss: 1.0969457626342773, acc.: 30.379077792167664%] [G loss: [array(1.0973033, dtype=float32), array(1.0973033, dtype=float32), array(0.3035892, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "377 [D loss: 1.0971348285675049, acc.: 30.352431535720825%] [G loss: [array(1.0975001, dtype=float32), array(1.0975001, dtype=float32), array(0.30332342, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "378 [D loss: 1.097337007522583, acc.: 30.354800820350647%] [G loss: [array(1.0977143, dtype=float32), array(1.0977143, dtype=float32), array(0.30334765, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "379 [D loss: 1.0975444316864014, acc.: 30.34481406211853%] [G loss: [array(1.097907, dtype=float32), array(1.097907, dtype=float32), array(0.30324838, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "380 [D loss: 1.09772789478302, acc.: 30.34719228744507%] [G loss: [array(1.0980971, dtype=float32), array(1.0980971, dtype=float32), array(0.30327263, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "381 [D loss: 1.097909927368164, acc.: 30.353647470474243%] [G loss: [array(1.0982816, dtype=float32), array(1.0982816, dtype=float32), array(0.3033377, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "382 [D loss: 1.0980830192565918, acc.: 30.355989933013916%] [G loss: [array(1.0984399, dtype=float32), array(1.0984399, dtype=float32), array(0.30336162, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "383 [D loss: 1.0982404947280884, acc.: 30.382749438285828%] [G loss: [array(1.0985979, dtype=float32), array(1.0985979, dtype=float32), array(0.30362958, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "384 [D loss: 1.0984139442443848, acc.: 30.393123626708984%] [G loss: [array(1.098771, dtype=float32), array(1.098771, dtype=float32), array(0.30373377, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "385 [D loss: 1.098576545715332, acc.: 30.399399995803833%] [G loss: [array(1.0989287, dtype=float32), array(1.0989287, dtype=float32), array(0.30379698, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "386 [D loss: 1.0987236499786377, acc.: 30.40967583656311%] [G loss: [array(1.0990711, dtype=float32), array(1.0990711, dtype=float32), array(0.3039002, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "387 [D loss: 1.09889554977417, acc.: 30.4279625415802%] [G loss: [array(1.0992638, dtype=float32), array(1.0992638, dtype=float32), array(0.30408347, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "388 [D loss: 1.099097490310669, acc.: 30.414000153541565%] [G loss: [array(1.0994518, dtype=float32), array(1.0994518, dtype=float32), array(0.3039444, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "389 [D loss: 1.0992591381072998, acc.: 30.41614294052124%] [G loss: [array(1.0996082, dtype=float32), array(1.0996082, dtype=float32), array(0.30396634, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "390 [D loss: 1.0994250774383545, acc.: 30.41028380393982%] [G loss: [array(1.0997783, dtype=float32), array(1.0997783, dtype=float32), array(0.30390826, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "391 [D loss: 1.0996060371398926, acc.: 30.412423610687256%] [G loss: [array(1.0999599, dtype=float32), array(1.0999599, dtype=float32), array(0.30393016, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "392 [D loss: 1.0997743606567383, acc.: 30.418536067008972%] [G loss: [array(1.1001272, dtype=float32), array(1.1001272, dtype=float32), array(0.30399173, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "393 [D loss: 1.099949598312378, acc.: 30.424612760543823%] [G loss: [array(1.1003062, dtype=float32), array(1.1003062, dtype=float32), array(0.30405298, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "394 [D loss: 1.1001403331756592, acc.: 30.42670488357544%] [G loss: [array(1.1004963, dtype=float32), array(1.1004963, dtype=float32), array(0.30407438, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "395 [D loss: 1.1003212928771973, acc.: 30.4208904504776%] [G loss: [array(1.1006715, dtype=float32), array(1.1006715, dtype=float32), array(0.30401674, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "396 [D loss: 1.1005045175552368, acc.: 30.399352312088013%] [G loss: [array(1.1008524, dtype=float32), array(1.1008524, dtype=float32), array(0.30380195, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "397 [D loss: 1.1006813049316406, acc.: 30.393633246421814%] [G loss: [array(1.1010329, dtype=float32), array(1.1010329, dtype=float32), array(0.3037453, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "398 [D loss: 1.1008615493774414, acc.: 30.391860008239746%] [G loss: [array(1.1012051, dtype=float32), array(1.1012051, dtype=float32), array(0.30372807, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "399 [D loss: 1.1010205745697021, acc.: 30.40182590484619%] [G loss: [array(1.1013683, dtype=float32), array(1.1013683, dtype=float32), array(0.30382812, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "400 [D loss: 1.1011879444122314, acc.: 30.400043725967407%] [G loss: [array(1.1015283, dtype=float32), array(1.1015283, dtype=float32), array(0.3038108, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "401 [D loss: 1.101370096206665, acc.: 30.390489101409912%] [G loss: [array(1.1017245, dtype=float32), array(1.1017245, dtype=float32), array(0.3037158, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "402 [D loss: 1.101554274559021, acc.: 30.39650321006775%] [G loss: [array(1.1019025, dtype=float32), array(1.1019025, dtype=float32), array(0.30377635, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "403 [D loss: 1.1017228364944458, acc.: 30.41023015975952%] [G loss: [array(1.1020591, dtype=float32), array(1.1020591, dtype=float32), array(0.30391398, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "404 [D loss: 1.1018962860107422, acc.: 30.404582619667053%] [G loss: [array(1.1022472, dtype=float32), array(1.1022472, dtype=float32), array(0.30385804, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "405 [D loss: 1.1020753383636475, acc.: 30.398964881896973%] [G loss: [array(1.1024164, dtype=float32), array(1.1024164, dtype=float32), array(0.30380234, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "406 [D loss: 1.1022510528564453, acc.: 30.385690927505493%] [G loss: [array(1.1025835, dtype=float32), array(1.1025835, dtype=float32), array(0.30367014, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "407 [D loss: 1.1024214029312134, acc.: 30.38398027420044%] [G loss: [array(1.1027719, dtype=float32), array(1.1027719, dtype=float32), array(0.3036535, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "408 [D loss: 1.1025975942611694, acc.: 30.37845492362976%] [G loss: [array(1.1029314, dtype=float32), array(1.1029314, dtype=float32), array(0.30359873, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "409 [D loss: 1.102744698524475, acc.: 30.38439154624939%] [G loss: [array(1.1030761, dtype=float32), array(1.1030761, dtype=float32), array(0.30365855, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "410 [D loss: 1.1028906106948853, acc.: 30.38269579410553%] [G loss: [array(1.1032197, dtype=float32), array(1.1032197, dtype=float32), array(0.30364203, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "411 [D loss: 1.103057861328125, acc.: 30.369621515274048%] [G loss: [array(1.1033987, dtype=float32), array(1.1033987, dtype=float32), array(0.30351183, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "412 [D loss: 1.1032389402389526, acc.: 30.375540256500244%] [G loss: [array(1.1035857, dtype=float32), array(1.1035857, dtype=float32), array(0.30357143, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "413 [D loss: 1.1034088134765625, acc.: 30.37010431289673%] [G loss: [array(1.1037397, dtype=float32), array(1.1037397, dtype=float32), array(0.30351752, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "414 [D loss: 1.103543758392334, acc.: 30.38729429244995%] [G loss: [array(1.1038698, dtype=float32), array(1.1038698, dtype=float32), array(0.30368978, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "415 [D loss: 1.1036884784698486, acc.: 30.385610461235046%] [G loss: [array(1.1040182, dtype=float32), array(1.1040182, dtype=float32), array(0.3036734, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "416 [D loss: 1.1038486957550049, acc.: 30.391430854797363%] [G loss: [array(1.1041819, dtype=float32), array(1.1041819, dtype=float32), array(0.303732, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "417 [D loss: 1.1039994955062866, acc.: 30.40471076965332%] [G loss: [array(1.1043323, dtype=float32), array(1.1043323, dtype=float32), array(0.30386516, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "418 [D loss: 1.1041568517684937, acc.: 30.403000116348267%] [G loss: [array(1.1044827, dtype=float32), array(1.1044827, dtype=float32), array(0.30384848, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "419 [D loss: 1.1043214797973633, acc.: 30.408737063407898%] [G loss: [array(1.1046603, dtype=float32), array(1.1046603, dtype=float32), array(0.30390626, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "420 [D loss: 1.1044913530349731, acc.: 30.399596691131592%] [G loss: [array(1.104817, dtype=float32), array(1.104817, dtype=float32), array(0.30381534, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "421 [D loss: 1.1046209335327148, acc.: 30.40902018547058%] [G loss: [array(1.1049346, dtype=float32), array(1.1049346, dtype=float32), array(0.30390996, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "422 [D loss: 1.1047643423080444, acc.: 30.39252758026123%] [G loss: [array(1.1050836, dtype=float32), array(1.1050836, dtype=float32), array(0.30374557, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "423 [D loss: 1.1049156188964844, acc.: 30.38349151611328%] [G loss: [array(1.1052505, dtype=float32), array(1.1052505, dtype=float32), array(0.30365565, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "424 [D loss: 1.1050901412963867, acc.: 30.36714196205139%] [G loss: [array(1.1054189, dtype=float32), array(1.1054189, dtype=float32), array(0.30349267, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "425 [D loss: 1.105254054069519, acc.: 30.361872911453247%] [G loss: [array(1.1055729, dtype=float32), array(1.1055729, dtype=float32), array(0.30344045, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "426 [D loss: 1.1054089069366455, acc.: 30.3419828414917%] [G loss: [array(1.10573, dtype=float32), array(1.10573, dtype=float32), array(0.3032421, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "427 [D loss: 1.1055700778961182, acc.: 30.329495668411255%] [G loss: [array(1.1058973, dtype=float32), array(1.1058973, dtype=float32), array(0.3031177, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "428 [D loss: 1.1057252883911133, acc.: 30.33164143562317%] [G loss: [array(1.1060531, dtype=float32), array(1.1060531, dtype=float32), array(0.30313957, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "429 [D loss: 1.1058754920959473, acc.: 30.333781242370605%] [G loss: [array(1.1061934, dtype=float32), array(1.1061934, dtype=float32), array(0.30316132, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "430 [D loss: 1.1060123443603516, acc.: 30.354043841362%] [G loss: [array(1.1063262, dtype=float32), array(1.1063262, dtype=float32), array(0.30336428, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "431 [D loss: 1.1061594486236572, acc.: 30.363357067108154%] [G loss: [array(1.1064847, dtype=float32), array(1.1064847, dtype=float32), array(0.30345777, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "432 [D loss: 1.1063193082809448, acc.: 30.36540448665619%] [G loss: [array(1.1066418, dtype=float32), array(1.1066418, dtype=float32), array(0.30347863, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "433 [D loss: 1.1064941883087158, acc.: 30.34583330154419%] [G loss: [array(1.1068214, dtype=float32), array(1.1068214, dtype=float32), array(0.30328342, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "434 [D loss: 1.1066598892211914, acc.: 30.337131023406982%] [G loss: [array(1.1069766, dtype=float32), array(1.1069766, dtype=float32), array(0.30319685, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "435 [D loss: 1.1067850589752197, acc.: 30.360737442970276%] [G loss: [array(1.1070939, dtype=float32), array(1.1070939, dtype=float32), array(0.30343318, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "436 [D loss: 1.106917142868042, acc.: 30.36993145942688%] [G loss: [array(1.1072361, dtype=float32), array(1.1072361, dtype=float32), array(0.30352548, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "437 [D loss: 1.1070704460144043, acc.: 30.379080772399902%] [G loss: [array(1.1073925, dtype=float32), array(1.1073925, dtype=float32), array(0.3036173, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "438 [D loss: 1.107213020324707, acc.: 30.381065607070923%] [G loss: [array(1.1075201, dtype=float32), array(1.1075201, dtype=float32), array(0.30363753, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "439 [D loss: 1.1073557138442993, acc.: 30.3865909576416%] [G loss: [array(1.1076806, dtype=float32), array(1.1076806, dtype=float32), array(0.30369318, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "440 [D loss: 1.10752272605896, acc.: 30.381464958190918%] [G loss: [array(1.1078433, dtype=float32), array(1.1078433, dtype=float32), array(0.3036423, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "441 [D loss: 1.1076686382293701, acc.: 30.379891395568848%] [G loss: [array(1.1079785, dtype=float32), array(1.1079785, dtype=float32), array(0.30362698, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "442 [D loss: 1.1078091859817505, acc.: 30.378329753875732%] [G loss: [array(1.1081238, dtype=float32), array(1.1081238, dtype=float32), array(0.30361176, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "443 [D loss: 1.1079590320587158, acc.: 30.38381338119507%] [G loss: [array(1.1082698, dtype=float32), array(1.1082698, dtype=float32), array(0.30366695, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "444 [D loss: 1.108105182647705, acc.: 30.382245779037476%] [G loss: [array(1.1084073, dtype=float32), array(1.1084073, dtype=float32), array(0.3036517, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\n",
      "445 [D loss: 1.108231544494629, acc.: 30.380690097808838%] [G loss: [array(1.108541, dtype=float32), array(1.108541, dtype=float32), array(0.30363652, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "446 [D loss: 1.1083760261535645, acc.: 30.400121212005615%] [G loss: [array(1.1086937, dtype=float32), array(1.1086937, dtype=float32), array(0.3038311, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "447 [D loss: 1.108510971069336, acc.: 30.41248917579651%] [G loss: [array(1.1088175, dtype=float32), array(1.1088175, dtype=float32), array(0.30395508, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "448 [D loss: 1.1086399555206299, acc.: 30.4178386926651%] [G loss: [array(1.1089396, dtype=float32), array(1.1089396, dtype=float32), array(0.30400893, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "449 [D loss: 1.108781337738037, acc.: 30.398839712142944%] [G loss: [array(1.1090928, dtype=float32), array(1.1090928, dtype=float32), array(0.30381945, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "450 [D loss: 1.1089297533035278, acc.: 30.404198169708252%] [G loss: [array(1.1092443, dtype=float32), array(1.1092443, dtype=float32), array(0.30387333, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "451 [D loss: 1.109083890914917, acc.: 30.39223551750183%] [G loss: [array(1.1093845, dtype=float32), array(1.1093845, dtype=float32), array(0.30375415, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "452 [D loss: 1.109221339225769, acc.: 30.383777618408203%] [G loss: [array(1.1095316, dtype=float32), array(1.1095316, dtype=float32), array(0.30367, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "453 [D loss: 1.1093766689300537, acc.: 30.382239818572998%] [G loss: [array(1.1096933, dtype=float32), array(1.1096933, dtype=float32), array(0.303655, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "454 [D loss: 1.1095445156097412, acc.: 30.36353290081024%] [G loss: [array(1.1098493, dtype=float32), array(1.1098493, dtype=float32), array(0.3034684, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "455 [D loss: 1.1096792221069336, acc.: 30.365478992462158%] [G loss: [array(1.1099811, dtype=float32), array(1.1099811, dtype=float32), array(0.30348822, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "456 [D loss: 1.1098381280899048, acc.: 30.35030961036682%] [G loss: [array(1.1101487, dtype=float32), array(1.1101487, dtype=float32), array(0.30333698, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "457 [D loss: 1.109989881515503, acc.: 30.34886121749878%] [G loss: [array(1.1102941, dtype=float32), array(1.1102941, dtype=float32), array(0.30332288, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "458 [D loss: 1.1101176738739014, acc.: 30.364447832107544%] [G loss: [array(1.1104127, dtype=float32), array(1.1104127, dtype=float32), array(0.30347902, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "459 [D loss: 1.1102509498596191, acc.: 30.37317395210266%] [G loss: [array(1.1105589, dtype=float32), array(1.1105589, dtype=float32), array(0.30356658, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "460 [D loss: 1.1104061603546143, acc.: 30.354732275009155%] [G loss: [array(1.1107006, dtype=float32), array(1.1107006, dtype=float32), array(0.3033826, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "461 [D loss: 1.1105462312698364, acc.: 30.34989833831787%] [G loss: [array(1.1108488, dtype=float32), array(1.1108488, dtype=float32), array(0.30333468, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "462 [D loss: 1.1106834411621094, acc.: 30.351847410202026%] [G loss: [array(1.1109802, dtype=float32), array(1.1109802, dtype=float32), array(0.30335447, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "463 [D loss: 1.1108105182647705, acc.: 30.363887548446655%] [G loss: [array(1.1111071, dtype=float32), array(1.1111071, dtype=float32), array(0.3034752, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "464 [D loss: 1.110946536064148, acc.: 30.35570979118347%] [G loss: [array(1.1112332, dtype=float32), array(1.1112332, dtype=float32), array(0.3033938, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "465 [D loss: 1.111075520515442, acc.: 30.36434054374695%] [G loss: [array(1.1113768, dtype=float32), array(1.1113768, dtype=float32), array(0.30348042, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "466 [D loss: 1.1112103462219238, acc.: 30.366235971450806%] [G loss: [array(1.1115083, dtype=float32), array(1.1115083, dtype=float32), array(0.30349973, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "467 [D loss: 1.1113492250442505, acc.: 30.358105897903442%] [G loss: [array(1.111641, dtype=float32), array(1.111641, dtype=float32), array(0.30341882, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "468 [D loss: 1.111476182937622, acc.: 30.35334348678589%] [G loss: [array(1.1117631, dtype=float32), array(1.1117631, dtype=float32), array(0.30337155, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "469 [D loss: 1.1116063594818115, acc.: 30.348598957061768%] [G loss: [array(1.1119051, dtype=float32), array(1.1119051, dtype=float32), array(0.30332446, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "470 [D loss: 1.1117408275604248, acc.: 30.343875288963318%] [G loss: [array(1.1120317, dtype=float32), array(1.1120317, dtype=float32), array(0.3032776, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "471 [D loss: 1.1118714809417725, acc.: 30.345797538757324%] [G loss: [array(1.1121653, dtype=float32), array(1.1121653, dtype=float32), array(0.30329713, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "472 [D loss: 1.111985206604004, acc.: 30.354318022727966%] [G loss: [array(1.1122645, dtype=float32), array(1.1122645, dtype=float32), array(0.30338266, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "473 [D loss: 1.1121058464050293, acc.: 30.359506607055664%] [G loss: [array(1.1124073, dtype=float32), array(1.1124073, dtype=float32), array(0.30343488, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "474 [D loss: 1.112268328666687, acc.: 30.3383469581604%] [G loss: [array(1.1125666, dtype=float32), array(1.1125666, dtype=float32), array(0.3032237, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "475 [D loss: 1.1124048233032227, acc.: 30.346831679344177%] [G loss: [array(1.1126956, dtype=float32), array(1.1126956, dtype=float32), array(0.30330884, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "476 [D loss: 1.112534761428833, acc.: 30.342167615890503%] [G loss: [array(1.1128244, dtype=float32), array(1.1128244, dtype=float32), array(0.30326256, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "477 [D loss: 1.1126654148101807, acc.: 30.34079670906067%] [G loss: [array(1.1129634, dtype=float32), array(1.1129634, dtype=float32), array(0.3032492, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "478 [D loss: 1.1127957105636597, acc.: 30.342698097229004%] [G loss: [array(1.1130837, dtype=float32), array(1.1130837, dtype=float32), array(0.30326852, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "479 [D loss: 1.1129264831542969, acc.: 30.36087155342102%] [G loss: [array(1.1132233, dtype=float32), array(1.1132233, dtype=float32), array(0.30345052, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "480 [D loss: 1.1130650043487549, acc.: 30.365973711013794%] [G loss: [array(1.1133605, dtype=float32), array(1.1133605, dtype=float32), array(0.3035018, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "481 [D loss: 1.1131972074508667, acc.: 30.37753701210022%] [G loss: [array(1.113489, dtype=float32), array(1.113489, dtype=float32), array(0.30361775, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "482 [D loss: 1.1133230924606323, acc.: 30.382582545280457%] [G loss: [array(1.11361, dtype=float32), array(1.11361, dtype=float32), array(0.30366847, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "483 [D loss: 1.1134445667266846, acc.: 30.39729595184326%] [G loss: [array(1.1137302, dtype=float32), array(1.1137302, dtype=float32), array(0.30381584, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "484 [D loss: 1.1135820150375366, acc.: 30.399054288864136%] [G loss: [array(1.1138706, dtype=float32), array(1.1138706, dtype=float32), array(0.30383378, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "485 [D loss: 1.1137086153030396, acc.: 30.394375324249268%] [G loss: [array(1.1139901, dtype=float32), array(1.1139901, dtype=float32), array(0.30378732, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "486 [D loss: 1.1138367652893066, acc.: 30.389711260795593%] [G loss: [array(1.1141329, dtype=float32), array(1.1141329, dtype=float32), array(0.30374104, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "487 [D loss: 1.1139745712280273, acc.: 30.381864309310913%] [G loss: [array(1.1142486, dtype=float32), array(1.1142486, dtype=float32), array(0.30366293, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "488 [D loss: 1.1140992641448975, acc.: 30.3644597530365%] [G loss: [array(1.1143814, dtype=float32), array(1.1143814, dtype=float32), array(0.30348927, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "489 [D loss: 1.114220380783081, acc.: 30.369454622268677%] [G loss: [array(1.1145022, dtype=float32), array(1.1145022, dtype=float32), array(0.3035395, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "490 [D loss: 1.114366054534912, acc.: 30.377620458602905%] [G loss: [array(1.114667, dtype=float32), array(1.114667, dtype=float32), array(0.30362144, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "491 [D loss: 1.114504337310791, acc.: 30.38257360458374%] [G loss: [array(1.1147887, dtype=float32), array(1.1147887, dtype=float32), array(0.30367127, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "492 [D loss: 1.1146292686462402, acc.: 30.390673875808716%] [G loss: [array(1.1149176, dtype=float32), array(1.1149176, dtype=float32), array(0.30375254, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "493 [D loss: 1.1147704124450684, acc.: 30.389249324798584%] [G loss: [array(1.1150593, dtype=float32), array(1.1150593, dtype=float32), array(0.30373862, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "494 [D loss: 1.1148960590362549, acc.: 30.390983819961548%] [G loss: [array(1.1151729, dtype=float32), array(1.1151729, dtype=float32), array(0.3037563, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "495 [D loss: 1.1150164604187012, acc.: 30.386418104171753%] [G loss: [array(1.1152936, dtype=float32), array(1.1152936, dtype=float32), array(0.30371094, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "496 [D loss: 1.1151371002197266, acc.: 30.388155579566956%] [G loss: [array(1.1154205, dtype=float32), array(1.1154205, dtype=float32), array(0.3037286, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "497 [D loss: 1.115268588066101, acc.: 30.38988709449768%] [G loss: [array(1.1155531, dtype=float32), array(1.1155531, dtype=float32), array(0.30374625, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "498 [D loss: 1.1154050827026367, acc.: 30.39160966873169%] [G loss: [array(1.1156873, dtype=float32), array(1.1156873, dtype=float32), array(0.30376378, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "499 [D loss: 1.1155375242233276, acc.: 30.374568700790405%] [G loss: [array(1.1158191, dtype=float32), array(1.1158191, dtype=float32), array(0.30359375, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "500 [D loss: 1.1156710386276245, acc.: 30.379438400268555%] [G loss: [array(1.1159563, dtype=float32), array(1.1159563, dtype=float32), array(0.30364272, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "501 [D loss: 1.1158053874969482, acc.: 30.365604162216187%] [G loss: [array(1.1160792, dtype=float32), array(1.1160792, dtype=float32), array(0.30350474, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "502 [D loss: 1.1159241199493408, acc.: 30.373579263687134%] [G loss: [array(1.1162044, dtype=float32), array(1.1162044, dtype=float32), array(0.30358475, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "503 [D loss: 1.1160602569580078, acc.: 30.366015434265137%] [G loss: [array(1.1163431, dtype=float32), array(1.1163431, dtype=float32), array(0.30350944, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "504 [D loss: 1.1161959171295166, acc.: 30.352288484573364%] [G loss: [array(1.1164649, dtype=float32), array(1.1164649, dtype=float32), array(0.30337253, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\n",
      "505 [D loss: 1.1163309812545776, acc.: 30.33861517906189%] [G loss: [array(1.1166054, dtype=float32), array(1.1166054, dtype=float32), array(0.3032362, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "506 [D loss: 1.1164382696151733, acc.: 30.352747440338135%] [G loss: [array(1.1167064, dtype=float32), array(1.1167064, dtype=float32), array(0.30337772, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "507 [D loss: 1.1165409088134766, acc.: 30.363744497299194%] [G loss: [array(1.116808, dtype=float32), array(1.116808, dtype=float32), array(0.30348796, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "508 [D loss: 1.1166586875915527, acc.: 30.368557572364807%] [G loss: [array(1.1169343, dtype=float32), array(1.1169343, dtype=float32), array(0.30353636, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "509 [D loss: 1.1167807579040527, acc.: 30.376416444778442%] [G loss: [array(1.117052, dtype=float32), array(1.117052, dtype=float32), array(0.30361518, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n",
      "510 [D loss: 1.1169085502624512, acc.: 30.359771847724915%] [G loss: [array(1.117185, dtype=float32), array(1.117185, dtype=float32), array(0.30344912, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "511 [D loss: 1.1170315742492676, acc.: 30.367618799209595%] [G loss: [array(1.1173123, dtype=float32), array(1.1173123, dtype=float32), array(0.30352783, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "512 [D loss: 1.1171612739562988, acc.: 30.369341373443604%] [G loss: [array(1.1174392, dtype=float32), array(1.1174392, dtype=float32), array(0.30354533, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "513 [D loss: 1.1172962188720703, acc.: 30.368012189865112%] [G loss: [array(1.1175747, dtype=float32), array(1.1175747, dtype=float32), array(0.30353233, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "514 [D loss: 1.117416262626648, acc.: 30.372759699821472%] [G loss: [array(1.117688, dtype=float32), array(1.117688, dtype=float32), array(0.30358008, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "515 [D loss: 1.1175405979156494, acc.: 30.377492308616638%] [G loss: [array(1.1178174, dtype=float32), array(1.1178174, dtype=float32), array(0.30362767, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "516 [D loss: 1.1176700592041016, acc.: 30.385226011276245%] [G loss: [array(1.1179476, dtype=float32), array(1.1179476, dtype=float32), array(0.30370528, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "517 [D loss: 1.1177916526794434, acc.: 30.386897921562195%] [G loss: [array(1.1180527, dtype=float32), array(1.1180527, dtype=float32), array(0.30372223, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "518 [D loss: 1.117901086807251, acc.: 30.376511812210083%] [G loss: [array(1.1181623, dtype=float32), array(1.1181623, dtype=float32), array(0.30361873, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "519 [D loss: 1.1180086135864258, acc.: 30.37518858909607%] [G loss: [array(1.1182721, dtype=float32), array(1.1182721, dtype=float32), array(0.30360577, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "520 [D loss: 1.1181201934814453, acc.: 30.367866158485413%] [G loss: [array(1.1183805, dtype=float32), array(1.1183805, dtype=float32), array(0.30353287, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "521 [D loss: 1.1182307004928589, acc.: 30.360573530197144%] [G loss: [array(1.1184952, dtype=float32), array(1.1184952, dtype=float32), array(0.30346027, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "522 [D loss: 1.118349313735962, acc.: 30.35629391670227%] [G loss: [array(1.1186124, dtype=float32), array(1.1186124, dtype=float32), array(0.30341777, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "523 [D loss: 1.1184743642807007, acc.: 30.337119102478027%] [G loss: [array(1.1187335, dtype=float32), array(1.1187335, dtype=float32), array(0.30322638, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "524 [D loss: 1.1185855865478516, acc.: 30.332905054092407%] [G loss: [array(1.11885, dtype=float32), array(1.11885, dtype=float32), array(0.3031845, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "525 [D loss: 1.1186976432800293, acc.: 30.32573163509369%] [G loss: [array(1.1189547, dtype=float32), array(1.1189547, dtype=float32), array(0.3031131, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "526 [D loss: 1.118800163269043, acc.: 30.333417654037476%] [G loss: [array(1.1190664, dtype=float32), array(1.1190664, dtype=float32), array(0.30319023, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "527 [D loss: 1.118912696838379, acc.: 30.341076850891113%] [G loss: [array(1.1191726, dtype=float32), array(1.1191726, dtype=float32), array(0.30326703, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "528 [D loss: 1.119033932685852, acc.: 30.339843034744263%] [G loss: [array(1.1193042, dtype=float32), array(1.1193042, dtype=float32), array(0.30325496, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "529 [D loss: 1.1191678047180176, acc.: 30.33565878868103%] [G loss: [array(1.1194371, dtype=float32), array(1.1194371, dtype=float32), array(0.30321345, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "530 [D loss: 1.1193032264709473, acc.: 30.33149540424347%] [G loss: [array(1.119569, dtype=float32), array(1.119569, dtype=float32), array(0.30317208, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "531 [D loss: 1.1194345951080322, acc.: 30.30971586704254%] [G loss: [array(1.1196953, dtype=float32), array(1.1196953, dtype=float32), array(0.30295467, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "532 [D loss: 1.1195508241653442, acc.: 30.311480164527893%] [G loss: [array(1.119819, dtype=float32), array(1.119819, dtype=float32), array(0.30297256, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "533 [D loss: 1.119667410850525, acc.: 30.32202124595642%] [G loss: [array(1.1199297, dtype=float32), array(1.1199297, dtype=float32), array(0.30307817, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "534 [D loss: 1.1197774410247803, acc.: 30.32083511352539%] [G loss: [array(1.1200354, dtype=float32), array(1.1200354, dtype=float32), array(0.30306658, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "535 [D loss: 1.1198997497558594, acc.: 30.3050696849823%] [G loss: [array(1.1201619, dtype=float32), array(1.1201619, dtype=float32), array(0.30290928, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "536 [D loss: 1.1200238466262817, acc.: 30.292275547981262%] [G loss: [array(1.1202861, dtype=float32), array(1.1202861, dtype=float32), array(0.30278167, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "537 [D loss: 1.12013578414917, acc.: 30.302774906158447%] [G loss: [array(1.1203994, dtype=float32), array(1.1203994, dtype=float32), array(0.30288684, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "538 [D loss: 1.120247483253479, acc.: 30.292928218841553%] [G loss: [array(1.1204869, dtype=float32), array(1.1204869, dtype=float32), array(0.30278873, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "539 [D loss: 1.1203442811965942, acc.: 30.303388833999634%] [G loss: [array(1.1206119, dtype=float32), array(1.1206119, dtype=float32), array(0.30289352, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "540 [D loss: 1.1204760074615479, acc.: 30.284911394119263%] [G loss: [array(1.1207352, dtype=float32), array(1.1207352, dtype=float32), array(0.3027091, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "541 [D loss: 1.120575189590454, acc.: 30.292463302612305%] [G loss: [array(1.1208253, dtype=float32), array(1.1208253, dtype=float32), array(0.30278483, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "542 [D loss: 1.1206884384155273, acc.: 30.2798330783844%] [G loss: [array(1.1209497, dtype=float32), array(1.1209497, dtype=float32), array(0.30265883, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "543 [D loss: 1.12079918384552, acc.: 30.281615257263184%] [G loss: [array(1.1210543, dtype=float32), array(1.1210543, dtype=float32), array(0.30267695, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "544 [D loss: 1.1209089756011963, acc.: 30.280524492263794%] [G loss: [array(1.1211638, dtype=float32), array(1.1211638, dtype=float32), array(0.30266628, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "545 [D loss: 1.12102210521698, acc.: 30.26798367500305%] [G loss: [array(1.1212754, dtype=float32), array(1.1212754, dtype=float32), array(0.3025412, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "546 [D loss: 1.1211355924606323, acc.: 30.26120960712433%] [G loss: [array(1.1213961, dtype=float32), array(1.1213961, dtype=float32), array(0.30247372, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "547 [D loss: 1.1212565898895264, acc.: 30.251604318618774%] [G loss: [array(1.1215105, dtype=float32), array(1.1215105, dtype=float32), array(0.30237797, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "548 [D loss: 1.1213715076446533, acc.: 30.247727036476135%] [G loss: [array(1.1216291, dtype=float32), array(1.1216291, dtype=float32), array(0.30233946, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "549 [D loss: 1.1214855909347534, acc.: 30.24386763572693%] [G loss: [array(1.1217368, dtype=float32), array(1.1217368, dtype=float32), array(0.30230114, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "550 [D loss: 1.1215934753417969, acc.: 30.23717999458313%] [G loss: [array(1.1218482, dtype=float32), array(1.1218482, dtype=float32), array(0.30223456, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "551 [D loss: 1.1217069625854492, acc.: 30.23901879787445%] [G loss: [array(1.1219598, dtype=float32), array(1.1219598, dtype=float32), array(0.3022532, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "552 [D loss: 1.1218156814575195, acc.: 30.23519515991211%] [G loss: [array(1.1220669, dtype=float32), array(1.1220669, dtype=float32), array(0.3022152, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "553 [D loss: 1.1219172477722168, acc.: 30.242669582366943%] [G loss: [array(1.1221691, dtype=float32), array(1.1221691, dtype=float32), array(0.30229017, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "554 [D loss: 1.1220327615737915, acc.: 30.236035585403442%] [G loss: [array(1.1222864, dtype=float32), array(1.1222864, dtype=float32), array(0.3022241, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "555 [D loss: 1.12213134765625, acc.: 30.22942543029785%] [G loss: [array(1.1223707, dtype=float32), array(1.1223707, dtype=float32), array(0.30215827, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "556 [D loss: 1.1222326755523682, acc.: 30.24529218673706%] [G loss: [array(1.1224974, dtype=float32), array(1.1224974, dtype=float32), array(0.3023171, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "557 [D loss: 1.1223498582839966, acc.: 30.252695083618164%] [G loss: [array(1.1226022, dtype=float32), array(1.1226022, dtype=float32), array(0.30239135, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "558 [D loss: 1.1224541664123535, acc.: 30.254480242729187%] [G loss: [array(1.122698, dtype=float32), array(1.122698, dtype=float32), array(0.30240944, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "559 [D loss: 1.1225559711456299, acc.: 30.2450954914093%] [G loss: [array(1.1228017, dtype=float32), array(1.1228017, dtype=float32), array(0.30231586, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "560 [D loss: 1.1226530075073242, acc.: 30.246886610984802%] [G loss: [array(1.1229085, dtype=float32), array(1.1229085, dtype=float32), array(0.302334, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "561 [D loss: 1.1227571964263916, acc.: 30.25423288345337%] [G loss: [array(1.1230003, dtype=float32), array(1.1230003, dtype=float32), array(0.30240768, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "562 [D loss: 1.1228606700897217, acc.: 30.2560031414032%] [G loss: [array(1.12311, dtype=float32), array(1.12311, dtype=float32), array(0.30242562, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "563 [D loss: 1.122960090637207, acc.: 30.25776743888855%] [G loss: [array(1.1232015, dtype=float32), array(1.1232015, dtype=float32), array(0.3024435, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "564 [D loss: 1.1230664253234863, acc.: 30.26505708694458%] [G loss: [array(1.1233183, dtype=float32), array(1.1233183, dtype=float32), array(0.30251658, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "565 [D loss: 1.1231884956359863, acc.: 30.258512496948242%] [G loss: [array(1.123444, dtype=float32), array(1.123444, dtype=float32), array(0.3024514, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "566 [D loss: 1.1233046054840088, acc.: 30.24371862411499%] [G loss: [array(1.1235478, dtype=float32), array(1.1235478, dtype=float32), array(0.3023038, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "567 [D loss: 1.1234122514724731, acc.: 30.220723152160645%] [G loss: [array(1.123656, dtype=float32), array(1.123656, dtype=float32), array(0.30207416, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "568 [D loss: 1.1235182285308838, acc.: 30.217039585113525%] [G loss: [array(1.1237692, dtype=float32), array(1.1237692, dtype=float32), array(0.30203757, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "569 [D loss: 1.1236217021942139, acc.: 30.221593379974365%] [G loss: [array(1.1238639, dtype=float32), array(1.1238639, dtype=float32), array(0.30208334, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "570 [D loss: 1.1237118244171143, acc.: 30.22887110710144%] [G loss: [array(1.1239514, dtype=float32), array(1.1239514, dtype=float32), array(0.3021563, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "571 [D loss: 1.1238071918487549, acc.: 30.233389139175415%] [G loss: [array(1.124049, dtype=float32), array(1.124049, dtype=float32), array(0.3022017, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "572 [D loss: 1.1239105463027954, acc.: 30.23516535758972%] [G loss: [array(1.1241511, dtype=float32), array(1.1241511, dtype=float32), array(0.3022197, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "573 [D loss: 1.1240124702453613, acc.: 30.23693561553955%] [G loss: [array(1.1242595, dtype=float32), array(1.1242595, dtype=float32), array(0.3022376, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "574 [D loss: 1.1241118907928467, acc.: 30.249568819999695%] [G loss: [array(1.1243587, dtype=float32), array(1.1243587, dtype=float32), array(0.3023641, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "575 [D loss: 1.1242303848266602, acc.: 30.23774027824402%] [G loss: [array(1.1244755, dtype=float32), array(1.1244755, dtype=float32), array(0.3022461, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "576 [D loss: 1.1243369579315186, acc.: 30.242204666137695%] [G loss: [array(1.124584, dtype=float32), array(1.124584, dtype=float32), array(0.30229095, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "577 [D loss: 1.1244556903839111, acc.: 30.243948101997375%] [G loss: [array(1.1247028, dtype=float32), array(1.1247028, dtype=float32), array(0.30230862, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "578 [D loss: 1.124558448791504, acc.: 30.25108575820923%] [G loss: [array(1.1247973, dtype=float32), array(1.1247973, dtype=float32), array(0.30238017, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "579 [D loss: 1.1246514320373535, acc.: 30.26089072227478%] [G loss: [array(1.1248887, dtype=float32), array(1.1248887, dtype=float32), array(0.30247843, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "580 [D loss: 1.1247448921203613, acc.: 30.2760511636734%] [G loss: [array(1.1249887, dtype=float32), array(1.1249887, dtype=float32), array(0.3026302, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "581 [D loss: 1.1248582601547241, acc.: 30.269667506217957%] [G loss: [array(1.1250995, dtype=float32), array(1.1250995, dtype=float32), array(0.3025666, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "582 [D loss: 1.124979019165039, acc.: 30.263304710388184%] [G loss: [array(1.1252259, dtype=float32), array(1.1252259, dtype=float32), array(0.30250323, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "583 [D loss: 1.1250989437103271, acc.: 30.251610279083252%] [G loss: [array(1.1253384, dtype=float32), array(1.1253384, dtype=float32), array(0.30238655, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "584 [D loss: 1.1252050399780273, acc.: 30.253320932388306%] [G loss: [array(1.125447, dtype=float32), array(1.125447, dtype=float32), array(0.30240384, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "585 [D loss: 1.125307321548462, acc.: 30.255019664764404%] [G loss: [array(1.1255472, dtype=float32), array(1.1255472, dtype=float32), array(0.3024211, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "586 [D loss: 1.1254181861877441, acc.: 30.256715416908264%] [G loss: [array(1.1256622, dtype=float32), array(1.1256622, dtype=float32), array(0.30243823, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "587 [D loss: 1.1255228519439697, acc.: 30.269038677215576%] [G loss: [array(1.125763, dtype=float32), array(1.125763, dtype=float32), array(0.30256164, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "588 [D loss: 1.1256210803985596, acc.: 30.26009202003479%] [G loss: [array(1.1258532, dtype=float32), array(1.1258532, dtype=float32), array(0.3024724, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "589 [D loss: 1.1257163286209106, acc.: 30.243223905563354%] [G loss: [array(1.1259463, dtype=float32), array(1.1259463, dtype=float32), array(0.30230403, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "590 [D loss: 1.1258091926574707, acc.: 30.242282152175903%] [G loss: [array(1.1260507, dtype=float32), array(1.1260507, dtype=float32), array(0.30229482, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "591 [D loss: 1.1259105205535889, acc.: 30.24398684501648%] [G loss: [array(1.1261421, dtype=float32), array(1.1261421, dtype=float32), array(0.30231208, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "592 [D loss: 1.12599778175354, acc.: 30.253589153289795%] [G loss: [array(1.1262314, dtype=float32), array(1.1262314, dtype=float32), array(0.3024083, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "593 [D loss: 1.1260958909988403, acc.: 30.250003933906555%] [G loss: [array(1.1263276, dtype=float32), array(1.1263276, dtype=float32), array(0.30237266, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "594 [D loss: 1.126197338104248, acc.: 30.243805050849915%] [G loss: [array(1.1264307, dtype=float32), array(1.1264307, dtype=float32), array(0.3023109, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "595 [D loss: 1.1263036727905273, acc.: 30.245494842529297%] [G loss: [array(1.1265414, dtype=float32), array(1.1265414, dtype=float32), array(0.30232802, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "596 [D loss: 1.1263999938964844, acc.: 30.2471786737442%] [G loss: [array(1.1266339, dtype=float32), array(1.1266339, dtype=float32), array(0.30234507, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "597 [D loss: 1.126502513885498, acc.: 30.235785245895386%] [G loss: [array(1.1267401, dtype=float32), array(1.1267401, dtype=float32), array(0.3022314, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "598 [D loss: 1.1266189813613892, acc.: 30.224430561065674%] [G loss: [array(1.1268564, dtype=float32), array(1.1268564, dtype=float32), array(0.3021181, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "599 [D loss: 1.1267110109329224, acc.: 30.236560106277466%] [G loss: [array(1.1269392, dtype=float32), array(1.1269392, dtype=float32), array(0.30223957, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "600 [D loss: 1.1268067359924316, acc.: 30.235648155212402%] [G loss: [array(1.127041, dtype=float32), array(1.127041, dtype=float32), array(0.30223066, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "601 [D loss: 1.126896619796753, acc.: 30.239927768707275%] [G loss: [array(1.1271238, dtype=float32), array(1.1271238, dtype=float32), array(0.30227366, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "602 [D loss: 1.1269879341125488, acc.: 30.233830213546753%] [G loss: [array(1.1272204, dtype=float32), array(1.1272204, dtype=float32), array(0.3022129, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "603 [D loss: 1.1270861625671387, acc.: 30.232924222946167%] [G loss: [array(1.127324, dtype=float32), array(1.127324, dtype=float32), array(0.30220404, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "604 [D loss: 1.1271893978118896, acc.: 30.242356657981873%] [G loss: [array(1.1274214, dtype=float32), array(1.1274214, dtype=float32), array(0.30229855, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "605 [D loss: 1.1272835731506348, acc.: 30.23628294467926%] [G loss: [array(1.1275153, dtype=float32), array(1.1275153, dtype=float32), array(0.30223805, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "606 [D loss: 1.1273735761642456, acc.: 30.2456796169281%] [G loss: [array(1.1276027, dtype=float32), array(1.1276027, dtype=float32), array(0.30233216, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "607 [D loss: 1.1274633407592773, acc.: 30.257615447044373%] [G loss: [array(1.1276963, dtype=float32), array(1.1276963, dtype=float32), array(0.3024517, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "608 [D loss: 1.1275646686553955, acc.: 30.251544713974%] [G loss: [array(1.1277939, dtype=float32), array(1.1277939, dtype=float32), array(0.30239123, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "609 [D loss: 1.1276493072509766, acc.: 30.255746841430664%] [G loss: [array(1.1278702, dtype=float32), array(1.1278702, dtype=float32), array(0.3024334, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "610 [D loss: 1.1277344226837158, acc.: 30.252256989479065%] [G loss: [array(1.127958, dtype=float32), array(1.127958, dtype=float32), array(0.30239874, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "611 [D loss: 1.1278210878372192, acc.: 30.269211530685425%] [G loss: [array(1.1280525, dtype=float32), array(1.1280525, dtype=float32), array(0.30256844, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "612 [D loss: 1.1279196739196777, acc.: 30.263161659240723%] [G loss: [array(1.1281483, dtype=float32), array(1.1281483, dtype=float32), array(0.30250815, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "613 [D loss: 1.1280133724212646, acc.: 30.25459051132202%] [G loss: [array(1.1282374, dtype=float32), array(1.1282374, dtype=float32), array(0.30242264, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "614 [D loss: 1.1281014680862427, acc.: 30.258747935295105%] [G loss: [array(1.1283282, dtype=float32), array(1.1283282, dtype=float32), array(0.30246443, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "615 [D loss: 1.1282002925872803, acc.: 30.25020956993103%] [G loss: [array(1.1284288, dtype=float32), array(1.1284288, dtype=float32), array(0.30237925, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "616 [D loss: 1.128298282623291, acc.: 30.259430408477783%] [G loss: [array(1.1285266, dtype=float32), array(1.1285266, dtype=float32), array(0.30247164, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "617 [D loss: 1.1283859014511108, acc.: 30.271148681640625%] [G loss: [array(1.1286101, dtype=float32), array(1.1286101, dtype=float32), array(0.302589, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n",
      "618 [D loss: 1.1284797191619873, acc.: 30.270206928253174%] [G loss: [array(1.1287074, dtype=float32), array(1.1287074, dtype=float32), array(0.30257976, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "619 [D loss: 1.1285688877105713, acc.: 30.27430772781372%] [G loss: [array(1.1287894, dtype=float32), array(1.1287894, dtype=float32), array(0.30262098, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "620 [D loss: 1.1286582946777344, acc.: 30.278396606445312%] [G loss: [array(1.1288874, dtype=float32), array(1.1288874, dtype=float32), array(0.30266204, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "621 [D loss: 1.1287591457366943, acc.: 30.27242124080658%] [G loss: [array(1.1289885, dtype=float32), array(1.1289885, dtype=float32), array(0.3026025, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "622 [D loss: 1.1288602352142334, acc.: 30.26646375656128%] [G loss: [array(1.1290842, dtype=float32), array(1.1290842, dtype=float32), array(0.30254313, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "623 [D loss: 1.1289494037628174, acc.: 30.265533924102783%] [G loss: [array(1.1291671, dtype=float32), array(1.1291671, dtype=float32), array(0.30253404, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "624 [D loss: 1.1290318965911865, acc.: 30.26711344718933%] [G loss: [array(1.1292526, dtype=float32), array(1.1292526, dtype=float32), array(0.30255002, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "625 [D loss: 1.1291203498840332, acc.: 30.263689160346985%] [G loss: [array(1.1293434, dtype=float32), array(1.1293434, dtype=float32), array(0.30251598, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "626 [D loss: 1.1292104721069336, acc.: 30.270248651504517%] [G loss: [array(1.1294357, dtype=float32), array(1.1294357, dtype=float32), array(0.30258173, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "627 [D loss: 1.1292980909347534, acc.: 30.276787281036377%] [G loss: [array(1.1295184, dtype=float32), array(1.1295184, dtype=float32), array(0.3026473, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "628 [D loss: 1.1293914318084717, acc.: 30.270880460739136%] [G loss: [array(1.1296098, dtype=float32), array(1.1296098, dtype=float32), array(0.30258843, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "629 [D loss: 1.1294772624969482, acc.: 30.272436141967773%] [G loss: [array(1.1296961, dtype=float32), array(1.1296961, dtype=float32), array(0.30260417, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "630 [D loss: 1.1295719146728516, acc.: 30.27893900871277%] [G loss: [array(1.1298001, dtype=float32), array(1.1298001, dtype=float32), array(0.30266938, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "631 [D loss: 1.1296658515930176, acc.: 30.27058243751526%] [G loss: [array(1.1298826, dtype=float32), array(1.1298826, dtype=float32), array(0.30258605, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "632 [D loss: 1.1297491788864136, acc.: 30.264723300933838%] [G loss: [array(1.1299679, dtype=float32), array(1.1299679, dtype=float32), array(0.30252764, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "633 [D loss: 1.1298472881317139, acc.: 30.25641441345215%] [G loss: [array(1.1300728, dtype=float32), array(1.1300728, dtype=float32), array(0.30244482, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "634 [D loss: 1.129948616027832, acc.: 30.253058671951294%] [G loss: [array(1.1301721, dtype=float32), array(1.1301721, dtype=float32), array(0.3024114, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "635 [D loss: 1.1300328969955444, acc.: 30.259540677070618%] [G loss: [array(1.1302501, dtype=float32), array(1.1302501, dtype=float32), array(0.3024764, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "636 [D loss: 1.1301279067993164, acc.: 30.258643627166748%] [G loss: [array(1.1303532, dtype=float32), array(1.1303532, dtype=float32), array(0.3024676, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "637 [D loss: 1.1302199363708496, acc.: 30.26999831199646%] [G loss: [array(1.1304413, dtype=float32), array(1.1304413, dtype=float32), array(0.3025813, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "638 [D loss: 1.1303051710128784, acc.: 30.269086360931396%] [G loss: [array(1.1305182, dtype=float32), array(1.1305182, dtype=float32), array(0.30257237, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "639 [D loss: 1.1303900480270386, acc.: 30.270618200302124%] [G loss: [array(1.1306127, dtype=float32), array(1.1306127, dtype=float32), array(0.3025879, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "640 [D loss: 1.130478858947754, acc.: 30.267268419265747%] [G loss: [array(1.1306965, dtype=float32), array(1.1306965, dtype=float32), array(0.3025546, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "641 [D loss: 1.130566954612732, acc.: 30.271238088607788%] [G loss: [array(1.1307896, dtype=float32), array(1.1307896, dtype=float32), array(0.30259445, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "642 [D loss: 1.1306583881378174, acc.: 30.267897248268127%] [G loss: [array(1.1308746, dtype=float32), array(1.1308746, dtype=float32), array(0.30256125, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "643 [D loss: 1.13074791431427, acc.: 30.262142419815063%] [G loss: [array(1.1309633, dtype=float32), array(1.1309633, dtype=float32), array(0.30250388, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "644 [D loss: 1.1308300495147705, acc.: 30.261248350143433%] [G loss: [array(1.1310438, dtype=float32), array(1.1310438, dtype=float32), array(0.30249515, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "645 [D loss: 1.1309103965759277, acc.: 30.26036024093628%] [G loss: [array(1.1311222, dtype=float32), array(1.1311222, dtype=float32), array(0.30248645, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "646 [D loss: 1.1309881210327148, acc.: 30.271553993225098%] [G loss: [array(1.1312045, dtype=float32), array(1.1312045, dtype=float32), array(0.30259854, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "647 [D loss: 1.1310776472091675, acc.: 30.27065396308899%] [G loss: [array(1.1312932, dtype=float32), array(1.1312932, dtype=float32), array(0.3025897, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "648 [D loss: 1.1311559677124023, acc.: 30.276978015899658%] [G loss: [array(1.1313647, dtype=float32), array(1.1313647, dtype=float32), array(0.3026531, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "649 [D loss: 1.1312408447265625, acc.: 30.2712619304657%] [G loss: [array(1.1314563, dtype=float32), array(1.1314563, dtype=float32), array(0.30259615, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "650 [D loss: 1.1313178539276123, acc.: 30.28237223625183%] [G loss: [array(1.1315325, dtype=float32), array(1.1315325, dtype=float32), array(0.30270737, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "651 [D loss: 1.1314053535461426, acc.: 30.27905821800232%] [G loss: [array(1.131619, dtype=float32), array(1.131619, dtype=float32), array(0.30267444, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "652 [D loss: 1.131492257118225, acc.: 30.27336597442627%] [G loss: [array(1.1317078, dtype=float32), array(1.1317078, dtype=float32), array(0.30261773, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "653 [D loss: 1.1315770149230957, acc.: 30.270081758499146%] [G loss: [array(1.1317858, dtype=float32), array(1.1317858, dtype=float32), array(0.30258507, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "654 [D loss: 1.131657600402832, acc.: 30.278736352920532%] [G loss: [array(1.1318777, dtype=float32), array(1.1318777, dtype=float32), array(0.30267176, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "655 [D loss: 1.1317543983459473, acc.: 30.280214548110962%] [G loss: [array(1.1319733, dtype=float32), array(1.1319733, dtype=float32), array(0.30268672, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "656 [D loss: 1.1318440437316895, acc.: 30.279314517974854%] [G loss: [array(1.1320554, dtype=float32), array(1.1320554, dtype=float32), array(0.3026779, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "657 [D loss: 1.1319206953048706, acc.: 30.283164978027344%] [G loss: [array(1.1321261, dtype=float32), array(1.1321261, dtype=float32), array(0.30271658, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "658 [D loss: 1.1319892406463623, acc.: 30.282261967658997%] [G loss: [array(1.1321955, dtype=float32), array(1.1321955, dtype=float32), array(0.3027077, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "659 [D loss: 1.1320711374282837, acc.: 30.286097526550293%] [G loss: [array(1.1322849, dtype=float32), array(1.1322849, dtype=float32), array(0.30274624, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "660 [D loss: 1.1321547031402588, acc.: 30.299383401870728%] [G loss: [array(1.1323719, dtype=float32), array(1.1323719, dtype=float32), array(0.30287918, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "661 [D loss: 1.132251262664795, acc.: 30.296093225479126%] [G loss: [array(1.1324639, dtype=float32), array(1.1324639, dtype=float32), array(0.3028465, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "662 [D loss: 1.132328987121582, acc.: 30.29753565788269%] [G loss: [array(1.1325327, dtype=float32), array(1.1325327, dtype=float32), array(0.30286106, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "663 [D loss: 1.1324124336242676, acc.: 30.282491445541382%] [G loss: [array(1.1326189, dtype=float32), array(1.1326189, dtype=float32), array(0.30271086, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "664 [D loss: 1.132489800453186, acc.: 30.279245972633362%] [G loss: [array(1.1326951, dtype=float32), array(1.1326951, dtype=float32), array(0.30267859, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "665 [D loss: 1.132561445236206, acc.: 30.27835488319397%] [G loss: [array(1.1327653, dtype=float32), array(1.1327653, dtype=float32), array(0.30266985, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "666 [D loss: 1.1326384544372559, acc.: 30.277469754219055%] [G loss: [array(1.1328465, dtype=float32), array(1.1328465, dtype=float32), array(0.30266118, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "667 [D loss: 1.1327143907546997, acc.: 30.290627479553223%] [G loss: [array(1.1329273, dtype=float32), array(1.1329273, dtype=float32), array(0.30279288, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "668 [D loss: 1.132798671722412, acc.: 30.296730995178223%] [G loss: [array(1.1330059, dtype=float32), array(1.1330059, dtype=float32), array(0.30285406, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "669 [D loss: 1.1328747272491455, acc.: 30.291157960891724%] [G loss: [array(1.1330812, dtype=float32), array(1.1330812, dtype=float32), array(0.3027985, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "670 [D loss: 1.1329655647277832, acc.: 30.28559684753418%] [G loss: [array(1.1331784, dtype=float32), array(1.1331784, dtype=float32), array(0.3027431, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "671 [D loss: 1.1330535411834717, acc.: 30.284708738327026%] [G loss: [array(1.133264, dtype=float32), array(1.133264, dtype=float32), array(0.30273438, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "672 [D loss: 1.1331411600112915, acc.: 30.269885063171387%] [G loss: [array(1.1333462, dtype=float32), array(1.1333462, dtype=float32), array(0.30258635, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "673 [D loss: 1.1332151889801025, acc.: 30.271339416503906%] [G loss: [array(1.1334145, dtype=float32), array(1.1334145, dtype=float32), array(0.30260107, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "674 [D loss: 1.1332833766937256, acc.: 30.27973771095276%] [G loss: [array(1.133487, dtype=float32), array(1.133487, dtype=float32), array(0.30268517, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "675 [D loss: 1.1333575248718262, acc.: 30.292734503746033%] [G loss: [array(1.133566, dtype=float32), array(1.133566, dtype=float32), array(0.3028153, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "676 [D loss: 1.1334381103515625, acc.: 30.29415011405945%] [G loss: [array(1.1336461, dtype=float32), array(1.1336461, dtype=float32), array(0.30282956, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "677 [D loss: 1.1335183382034302, acc.: 30.288642644882202%] [G loss: [array(1.1337206, dtype=float32), array(1.1337206, dtype=float32), array(0.3027747, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "678 [D loss: 1.1335875988006592, acc.: 30.299267172813416%] [G loss: [array(1.1337917, dtype=float32), array(1.1337917, dtype=float32), array(0.30288106, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "679 [D loss: 1.133666753768921, acc.: 30.30756115913391%] [G loss: [array(1.1338769, dtype=float32), array(1.1338769, dtype=float32), array(0.30296415, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "680 [D loss: 1.1337602138519287, acc.: 30.295175313949585%] [G loss: [array(1.1339668, dtype=float32), array(1.1339668, dtype=float32), array(0.3028405, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "681 [D loss: 1.133835792541504, acc.: 30.29886782169342%] [G loss: [array(1.1340369, dtype=float32), array(1.1340369, dtype=float32), array(0.30287758, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "682 [D loss: 1.1339081525802612, acc.: 30.29339611530304%] [G loss: [array(1.134108, dtype=float32), array(1.134108, dtype=float32), array(0.30282304, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "683 [D loss: 1.1339843273162842, acc.: 30.287939310073853%] [G loss: [array(1.1341902, dtype=float32), array(1.1341902, dtype=float32), array(0.30276865, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "684 [D loss: 1.134067177772522, acc.: 30.293908715248108%] [G loss: [array(1.1342763, dtype=float32), array(1.1342763, dtype=float32), array(0.3028285, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "685 [D loss: 1.1341562271118164, acc.: 30.290746688842773%] [G loss: [array(1.1343598, dtype=float32), array(1.1343598, dtype=float32), array(0.30279702, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "686 [D loss: 1.1342343091964722, acc.: 30.287590622901917%] [G loss: [array(1.1344362, dtype=float32), array(1.1344362, dtype=float32), array(0.30276567, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "687 [D loss: 1.1343135833740234, acc.: 30.284446477890015%] [G loss: [array(1.134519, dtype=float32), array(1.134519, dtype=float32), array(0.30273438, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "688 [D loss: 1.1343812942504883, acc.: 30.290383100509644%] [G loss: [array(1.1345776, dtype=float32), array(1.1345776, dtype=float32), array(0.3027939, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "689 [D loss: 1.1344486474990845, acc.: 30.289512872695923%] [G loss: [array(1.1346462, dtype=float32), array(1.1346462, dtype=float32), array(0.30278534, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "690 [D loss: 1.1345210075378418, acc.: 30.28411567211151%] [G loss: [array(1.1347194, dtype=float32), array(1.1347194, dtype=float32), array(0.30273154, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "691 [D loss: 1.1345809698104858, acc.: 30.294546484947205%] [G loss: [array(1.1347728, dtype=float32), array(1.1347728, dtype=float32), array(0.30283597, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "692 [D loss: 1.134648084640503, acc.: 30.293673276901245%] [G loss: [array(1.1348509, dtype=float32), array(1.1348509, dtype=float32), array(0.3028274, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "693 [D loss: 1.1347217559814453, acc.: 30.297303199768066%] [G loss: [array(1.134923, dtype=float32), array(1.134923, dtype=float32), array(0.30286384, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "694 [D loss: 1.1347990036010742, acc.: 30.287426710128784%] [G loss: [array(1.1349962, dtype=float32), array(1.1349962, dtype=float32), array(0.30276528, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "695 [D loss: 1.1348731517791748, acc.: 30.291056632995605%] [G loss: [array(1.13508, dtype=float32), array(1.13508, dtype=float32), array(0.30280173, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "696 [D loss: 1.134958267211914, acc.: 30.292433500289917%] [G loss: [array(1.1351631, dtype=float32), array(1.1351631, dtype=float32), array(0.30281565, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "697 [D loss: 1.1350363492965698, acc.: 30.29828667640686%] [G loss: [array(1.1352339, dtype=float32), array(1.1352339, dtype=float32), array(0.3028743, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "698 [D loss: 1.1351072788238525, acc.: 30.292940139770508%] [G loss: [array(1.1353036, dtype=float32), array(1.1353036, dtype=float32), array(0.302821, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "699 [D loss: 1.1351876258850098, acc.: 30.285373330116272%] [G loss: [array(1.1353891, dtype=float32), array(1.1353891, dtype=float32), array(0.30274552, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "700 [D loss: 1.1352647542953491, acc.: 30.282291769981384%] [G loss: [array(1.1354581, dtype=float32), array(1.1354581, dtype=float32), array(0.30271488, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "701 [D loss: 1.135329008102417, acc.: 30.283671617507935%] [G loss: [array(1.135523, dtype=float32), array(1.135523, dtype=float32), array(0.3027288, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "702 [D loss: 1.1353989839553833, acc.: 30.282822251319885%] [G loss: [array(1.1355964, dtype=float32), array(1.1355964, dtype=float32), array(0.3027205, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "703 [D loss: 1.1354641914367676, acc.: 30.28641641139984%] [G loss: [array(1.1356589, dtype=float32), array(1.1356589, dtype=float32), array(0.30275658, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "704 [D loss: 1.1355342864990234, acc.: 30.281132459640503%] [G loss: [array(1.1357274, dtype=float32), array(1.1357274, dtype=float32), array(0.30270392, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "705 [D loss: 1.1355974674224854, acc.: 30.29136061668396%] [G loss: [array(1.1357958, dtype=float32), array(1.1357958, dtype=float32), array(0.3028063, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "706 [D loss: 1.1356654167175293, acc.: 30.299347639083862%] [G loss: [array(1.1358597, dtype=float32), array(1.1358597, dtype=float32), array(0.3028863, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "707 [D loss: 1.1357393264770508, acc.: 30.305108428001404%] [G loss: [array(1.1359351, dtype=float32), array(1.1359351, dtype=float32), array(0.30294403, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "708 [D loss: 1.1358156204223633, acc.: 30.299827456474304%] [G loss: [array(1.1360117, dtype=float32), array(1.1360117, dtype=float32), array(0.3028914, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "709 [D loss: 1.1358915567398071, acc.: 30.2989661693573%] [G loss: [array(1.1360857, dtype=float32), array(1.1360857, dtype=float32), array(0.30288294, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "710 [D loss: 1.1359646320343018, acc.: 30.306896567344666%] [G loss: [array(1.1361649, dtype=float32), array(1.1361649, dtype=float32), array(0.30296236, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "711 [D loss: 1.1360466480255127, acc.: 30.299443006515503%] [G loss: [array(1.136244, dtype=float32), array(1.136244, dtype=float32), array(0.302888, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "712 [D loss: 1.136134386062622, acc.: 30.28542995452881%] [G loss: [array(1.1363342, dtype=float32), array(1.1363342, dtype=float32), array(0.30274805, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "713 [D loss: 1.1362134218215942, acc.: 30.28678297996521%] [G loss: [array(1.1364061, dtype=float32), array(1.1364061, dtype=float32), array(0.30276173, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "714 [D loss: 1.1362855434417725, acc.: 30.288130044937134%] [G loss: [array(1.1364828, dtype=float32), array(1.1364828, dtype=float32), array(0.30277535, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "715 [D loss: 1.1363661289215088, acc.: 30.278557538986206%] [G loss: [array(1.1365584, dtype=float32), array(1.1365584, dtype=float32), array(0.30267984, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "716 [D loss: 1.136430263519287, acc.: 30.288633704185486%] [G loss: [array(1.1366216, dtype=float32), array(1.1366216, dtype=float32), array(0.3027807, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "717 [D loss: 1.1364961862564087, acc.: 30.294322967529297%] [G loss: [array(1.1366899, dtype=float32), array(1.1366899, dtype=float32), array(0.30283773, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "718 [D loss: 1.1365704536437988, acc.: 30.2891343832016%] [G loss: [array(1.1367633, dtype=float32), array(1.1367633, dtype=float32), array(0.302786, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "719 [D loss: 1.1366381645202637, acc.: 30.281785130500793%] [G loss: [array(1.1368251, dtype=float32), array(1.1368251, dtype=float32), array(0.30271268, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "720 [D loss: 1.1367034912109375, acc.: 30.278795957565308%] [G loss: [array(1.1368939, dtype=float32), array(1.1368939, dtype=float32), array(0.3026829, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "721 [D loss: 1.1367735862731934, acc.: 30.288797616958618%] [G loss: [array(1.1369699, dtype=float32), array(1.1369699, dtype=float32), array(0.30278307, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "722 [D loss: 1.1368465423583984, acc.: 30.29012680053711%] [G loss: [array(1.13704, dtype=float32), array(1.13704, dtype=float32), array(0.3027965, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "723 [D loss: 1.1369309425354004, acc.: 30.280661582946777%] [G loss: [array(1.1371253, dtype=float32), array(1.1371253, dtype=float32), array(0.302702, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "724 [D loss: 1.1370034217834473, acc.: 30.273374915122986%] [G loss: [array(1.1371921, dtype=float32), array(1.1371921, dtype=float32), array(0.30262932, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "725 [D loss: 1.137070655822754, acc.: 30.276870727539062%] [G loss: [array(1.1372635, dtype=float32), array(1.1372635, dtype=float32), array(0.30266443, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "726 [D loss: 1.1371426582336426, acc.: 30.27176260948181%] [G loss: [array(1.1373316, dtype=float32), array(1.1373316, dtype=float32), array(0.3026135, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "727 [D loss: 1.137211799621582, acc.: 30.27525544166565%] [G loss: [array(1.1374077, dtype=float32), array(1.1374077, dtype=float32), array(0.30264854, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "728 [D loss: 1.137286901473999, acc.: 30.27229905128479%] [G loss: [array(1.1374764, dtype=float32), array(1.1374764, dtype=float32), array(0.30261916, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "729 [D loss: 1.1373664140701294, acc.: 30.269360542297363%] [G loss: [array(1.1375611, dtype=float32), array(1.1375611, dtype=float32), array(0.3025899, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "730 [D loss: 1.1374433040618896, acc.: 30.268561840057373%] [G loss: [array(1.1376363, dtype=float32), array(1.1376363, dtype=float32), array(0.3025821, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "731 [D loss: 1.1375139951705933, acc.: 30.272039771080017%] [G loss: [array(1.1377048, dtype=float32), array(1.1377048, dtype=float32), array(0.30261695, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "732 [D loss: 1.1375799179077148, acc.: 30.269110202789307%] [G loss: [array(1.1377609, dtype=float32), array(1.1377609, dtype=float32), array(0.30258784, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "733 [D loss: 1.1376374959945679, acc.: 30.27896285057068%] [G loss: [array(1.1378299, dtype=float32), array(1.1378299, dtype=float32), array(0.30268648, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "734 [D loss: 1.137707233428955, acc.: 30.284538865089417%] [G loss: [array(1.137895, dtype=float32), array(1.137895, dtype=float32), array(0.30274236, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "735 [D loss: 1.1377854347229004, acc.: 30.279481410980225%] [G loss: [array(1.1379796, dtype=float32), array(1.1379796, dtype=float32), array(0.3026919, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "736 [D loss: 1.13784921169281, acc.: 30.282920598983765%] [G loss: [array(1.1380302, dtype=float32), array(1.1380302, dtype=float32), array(0.30272642, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "737 [D loss: 1.1379029750823975, acc.: 30.279994010925293%] [G loss: [array(1.1380829, dtype=float32), array(1.1380829, dtype=float32), array(0.30269733, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "738 [D loss: 1.1379669904708862, acc.: 30.283421277999878%] [G loss: [array(1.138158, dtype=float32), array(1.138158, dtype=float32), array(0.30273175, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "739 [D loss: 1.1380387544631958, acc.: 30.286839604377747%] [G loss: [array(1.1382265, dtype=float32), array(1.1382265, dtype=float32), array(0.30276605, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "740 [D loss: 1.1381081342697144, acc.: 30.294471979141235%] [G loss: [array(1.138297, dtype=float32), array(1.138297, dtype=float32), array(0.30284247, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "741 [D loss: 1.1381714344024658, acc.: 30.299970507621765%] [G loss: [array(1.1383592, dtype=float32), array(1.1383592, dtype=float32), array(0.30289757, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "742 [D loss: 1.1382402181625366, acc.: 30.30335307121277%] [G loss: [array(1.1384298, dtype=float32), array(1.1384298, dtype=float32), array(0.30293152, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "743 [D loss: 1.138314962387085, acc.: 30.304625630378723%] [G loss: [array(1.138505, dtype=float32), array(1.138505, dtype=float32), array(0.3029444, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "744 [D loss: 1.1383819580078125, acc.: 30.30589520931244%] [G loss: [array(1.138564, dtype=float32), array(1.138564, dtype=float32), array(0.30295724, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "745 [D loss: 1.1384563446044922, acc.: 30.307161808013916%] [G loss: [array(1.1386522, dtype=float32), array(1.1386522, dtype=float32), array(0.30297002, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "746 [D loss: 1.138528823852539, acc.: 30.300050973892212%] [G loss: [array(1.1387076, dtype=float32), array(1.1387076, dtype=float32), array(0.3028991, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "747 [D loss: 1.1385948657989502, acc.: 30.297142267227173%] [G loss: [array(1.1387867, dtype=float32), array(1.1387867, dtype=float32), array(0.30287015, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "748 [D loss: 1.1386568546295166, acc.: 30.29424250125885%] [G loss: [array(1.1388366, dtype=float32), array(1.1388366, dtype=float32), array(0.30284128, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "749 [D loss: 1.1387255191802979, acc.: 30.287182331085205%] [G loss: [array(1.1389102, dtype=float32), array(1.1389102, dtype=float32), array(0.30277082, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "750 [D loss: 1.1387946605682373, acc.: 30.278056859970093%] [G loss: [array(1.1389819, dtype=float32), array(1.1389819, dtype=float32), array(0.30267975, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "751 [D loss: 1.1388611793518066, acc.: 30.277270078659058%] [G loss: [array(1.1390435, dtype=float32), array(1.1390435, dtype=float32), array(0.30267203, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "752 [D loss: 1.1389243602752686, acc.: 30.274415016174316%] [G loss: [array(1.1391115, dtype=float32), array(1.1391115, dtype=float32), array(0.3026436, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "753 [D loss: 1.138993501663208, acc.: 30.271562933921814%] [G loss: [array(1.1391768, dtype=float32), array(1.1391768, dtype=float32), array(0.30261523, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "754 [D loss: 1.1390435695648193, acc.: 30.28113842010498%] [G loss: [array(1.1392199, dtype=float32), array(1.1392199, dtype=float32), array(0.3027111, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "755 [D loss: 1.139113426208496, acc.: 30.26588261127472%] [G loss: [array(1.1392953, dtype=float32), array(1.1392953, dtype=float32), array(0.30255872, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "756 [D loss: 1.139174222946167, acc.: 30.26098608970642%] [G loss: [array(1.1393524, dtype=float32), array(1.1393524, dtype=float32), array(0.3025099, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "757 [D loss: 1.139243483543396, acc.: 30.26229441165924%] [G loss: [array(1.1394295, dtype=float32), array(1.1394295, dtype=float32), array(0.3025231, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "758 [D loss: 1.139307975769043, acc.: 30.263596773147583%] [G loss: [array(1.1394875, dtype=float32), array(1.1394875, dtype=float32), array(0.30253625, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "759 [D loss: 1.1393706798553467, acc.: 30.262836813926697%] [G loss: [array(1.1395537, dtype=float32), array(1.1395537, dtype=float32), array(0.3025288, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "760 [D loss: 1.1394333839416504, acc.: 30.253866314888%] [G loss: [array(1.1396102, dtype=float32), array(1.1396102, dtype=float32), array(0.30243924, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "761 [D loss: 1.1395039558410645, acc.: 30.242866277694702%] [G loss: [array(1.1396867, dtype=float32), array(1.1396867, dtype=float32), array(0.3023294, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "762 [D loss: 1.1395657062530518, acc.: 30.24623394012451%] [G loss: [array(1.1397438, dtype=float32), array(1.1397438, dtype=float32), array(0.30236322, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "763 [D loss: 1.1396312713623047, acc.: 30.241411924362183%] [G loss: [array(1.1398159, dtype=float32), array(1.1398159, dtype=float32), array(0.30231512, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "764 [D loss: 1.1397019624710083, acc.: 30.232512950897217%] [G loss: [array(1.1398827, dtype=float32), array(1.1398827, dtype=float32), array(0.3022263, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "765 [D loss: 1.139754056930542, acc.: 30.233842134475708%] [G loss: [array(1.1399275, dtype=float32), array(1.1399275, dtype=float32), array(0.30223972, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "766 [D loss: 1.139816164970398, acc.: 30.229055881500244%] [G loss: [array(1.139998, dtype=float32), array(1.139998, dtype=float32), array(0.30219197, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "767 [D loss: 1.1398835182189941, acc.: 30.228346586227417%] [G loss: [array(1.1400704, dtype=float32), array(1.1400704, dtype=float32), array(0.30218506, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "768 [D loss: 1.1399500370025635, acc.: 30.23374378681183%] [G loss: [array(1.1401311, dtype=float32), array(1.1401311, dtype=float32), array(0.30223912, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "769 [D loss: 1.1400117874145508, acc.: 30.239123106002808%] [G loss: [array(1.1401978, dtype=float32), array(1.1401978, dtype=float32), array(0.302293, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "770 [D loss: 1.1400847434997559, acc.: 30.238407850265503%] [G loss: [array(1.1402636, dtype=float32), array(1.1402636, dtype=float32), array(0.302286, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "771 [D loss: 1.1401395797729492, acc.: 30.23971915245056%] [G loss: [array(1.1403134, dtype=float32), array(1.1403134, dtype=float32), array(0.30229923, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "772 [D loss: 1.1401996612548828, acc.: 30.23698329925537%] [G loss: [array(1.1403793, dtype=float32), array(1.1403793, dtype=float32), array(0.302272, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "773 [D loss: 1.1402684450149536, acc.: 30.226173996925354%] [G loss: [array(1.1404492, dtype=float32), array(1.1404492, dtype=float32), array(0.30216408, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "774 [D loss: 1.1403295993804932, acc.: 30.237579345703125%] [G loss: [array(1.1405097, dtype=float32), array(1.1405097, dtype=float32), array(0.30227825, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "775 [D loss: 1.1404016017913818, acc.: 30.226799845695496%] [G loss: [array(1.1405814, dtype=float32), array(1.1405814, dtype=float32), array(0.3021706, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "776 [D loss: 1.1404646635055542, acc.: 30.226105451583862%] [G loss: [array(1.1406426, dtype=float32), array(1.1406426, dtype=float32), array(0.30216378, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "777 [D loss: 1.1405264139175415, acc.: 30.2274227142334%] [G loss: [array(1.1407038, dtype=float32), array(1.1407038, dtype=float32), array(0.30217704, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "778 [D loss: 1.140594720840454, acc.: 30.228734016418457%] [G loss: [array(1.1407753, dtype=float32), array(1.1407753, dtype=float32), array(0.3021903, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "779 [D loss: 1.140671968460083, acc.: 30.220025777816772%] [G loss: [array(1.1408554, dtype=float32), array(1.1408554, dtype=float32), array(0.30210337, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "780 [D loss: 1.1407325267791748, acc.: 30.215340852737427%] [G loss: [array(1.1409031, dtype=float32), array(1.1409031, dtype=float32), array(0.30205667, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "781 [D loss: 1.1407768726348877, acc.: 30.22066354751587%] [G loss: [array(1.1409466, dtype=float32), array(1.1409466, dtype=float32), array(0.30211, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "782 [D loss: 1.1408288478851318, acc.: 30.22996187210083%] [G loss: [array(1.1410099, dtype=float32), array(1.1410099, dtype=float32), array(0.30220306, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "783 [D loss: 1.1408956050872803, acc.: 30.231264233589172%] [G loss: [array(1.1410776, dtype=float32), array(1.1410776, dtype=float32), array(0.3022162, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "784 [D loss: 1.1409529447555542, acc.: 30.23853302001953%] [G loss: [array(1.1411273, dtype=float32), array(1.1411273, dtype=float32), array(0.302289, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "785 [D loss: 1.141014814376831, acc.: 30.23783564567566%] [G loss: [array(1.1411898, dtype=float32), array(1.1411898, dtype=float32), array(0.30228212, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "786 [D loss: 1.14107084274292, acc.: 30.23911714553833%] [G loss: [array(1.1412461, dtype=float32), array(1.1412461, dtype=float32), array(0.3022951, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "787 [D loss: 1.1411349773406982, acc.: 30.236434936523438%] [G loss: [array(1.1413106, dtype=float32), array(1.1413106, dtype=float32), array(0.3022684, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "788 [D loss: 1.1411975622177124, acc.: 30.237722396850586%] [G loss: [array(1.1413724, dtype=float32), array(1.1413724, dtype=float32), array(0.30228138, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "789 [D loss: 1.14125394821167, acc.: 30.239003896713257%] [G loss: [array(1.1414226, dtype=float32), array(1.1414226, dtype=float32), array(0.3022943, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "790 [D loss: 1.1413078308105469, acc.: 30.234354734420776%] [G loss: [array(1.1414847, dtype=float32), array(1.1414847, dtype=float32), array(0.30224794, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "791 [D loss: 1.1413663625717163, acc.: 30.235636234283447%] [G loss: [array(1.1415378, dtype=float32), array(1.1415378, dtype=float32), array(0.30226088, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "792 [D loss: 1.1414237022399902, acc.: 30.24085760116577%] [G loss: [array(1.1416014, dtype=float32), array(1.1416014, dtype=float32), array(0.3023132, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "793 [D loss: 1.1414828300476074, acc.: 30.23228943347931%] [G loss: [array(1.141649, dtype=float32), array(1.141649, dtype=float32), array(0.30222768, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "794 [D loss: 1.141526699066162, acc.: 30.23356795310974%] [G loss: [array(1.1416956, dtype=float32), array(1.1416956, dtype=float32), array(0.30224055, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "795 [D loss: 1.141585111618042, acc.: 30.230918526649475%] [G loss: [array(1.1417605, dtype=float32), array(1.1417605, dtype=float32), array(0.3022142, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "796 [D loss: 1.1416456699371338, acc.: 30.232197046279907%] [G loss: [array(1.1418173, dtype=float32), array(1.1418173, dtype=float32), array(0.3022271, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "797 [D loss: 1.141704797744751, acc.: 30.2334725856781%] [G loss: [array(1.1418827, dtype=float32), array(1.1418827, dtype=float32), array(0.30223998, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "798 [D loss: 1.1417800188064575, acc.: 30.224964022636414%] [G loss: [array(1.1419616, dtype=float32), array(1.1419616, dtype=float32), array(0.30215505, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "799 [D loss: 1.1418547630310059, acc.: 30.22429049015045%] [G loss: [array(1.1420331, dtype=float32), array(1.1420331, dtype=float32), array(0.30214843, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "800 [D loss: 1.141921877861023, acc.: 30.21971881389618%] [G loss: [array(1.1420923, dtype=float32), array(1.1420923, dtype=float32), array(0.30210283, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "801 [D loss: 1.1419812440872192, acc.: 30.215156078338623%] [G loss: [array(1.1421485, dtype=float32), array(1.1421485, dtype=float32), array(0.30205736, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "802 [D loss: 1.1420462131500244, acc.: 30.210605263710022%] [G loss: [array(1.1422235, dtype=float32), array(1.1422235, dtype=float32), array(0.30201197, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "803 [D loss: 1.142106056213379, acc.: 30.219677090644836%] [G loss: [array(1.1422801, dtype=float32), array(1.1422801, dtype=float32), array(0.30210277, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "804 [D loss: 1.1421619653701782, acc.: 30.222898721694946%] [G loss: [array(1.142331, dtype=float32), array(1.142331, dtype=float32), array(0.30213508, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "805 [D loss: 1.1422125101089478, acc.: 30.229991674423218%] [G loss: [array(1.1423793, dtype=float32), array(1.1423793, dtype=float32), array(0.3022061, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "806 [D loss: 1.1422715187072754, acc.: 30.229318141937256%] [G loss: [array(1.1424441, dtype=float32), array(1.1424441, dtype=float32), array(0.3021995, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "807 [D loss: 1.1423346996307373, acc.: 30.230581760406494%] [G loss: [array(1.1425087, dtype=float32), array(1.1425087, dtype=float32), array(0.30221224, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "808 [D loss: 1.1424033641815186, acc.: 30.235707759857178%] [G loss: [array(1.1425834, dtype=float32), array(1.1425834, dtype=float32), array(0.3022636, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "809 [D loss: 1.1424779891967773, acc.: 30.233100056648254%] [G loss: [array(1.1426537, dtype=float32), array(1.1426537, dtype=float32), array(0.30223766, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "810 [D loss: 1.1425399780273438, acc.: 30.23627996444702%] [G loss: [array(1.1427101, dtype=float32), array(1.1427101, dtype=float32), array(0.30226958, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "811 [D loss: 1.142599105834961, acc.: 30.23175597190857%] [G loss: [array(1.1427684, dtype=float32), array(1.1427684, dtype=float32), array(0.30222443, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "812 [D loss: 1.142662525177002, acc.: 30.225318670272827%] [G loss: [array(1.1428343, dtype=float32), array(1.1428343, dtype=float32), array(0.3021602, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "813 [D loss: 1.1427215337753296, acc.: 30.220818519592285%] [G loss: [array(1.1428878, dtype=float32), array(1.1428878, dtype=float32), array(0.30211532, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "814 [D loss: 1.142773985862732, acc.: 30.222082138061523%] [G loss: [array(1.1429459, dtype=float32), array(1.1429459, dtype=float32), array(0.30212808, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "815 [D loss: 1.1428322792053223, acc.: 30.227172374725342%] [G loss: [array(1.1430012, dtype=float32), array(1.1430012, dtype=float32), array(0.3021791, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "816 [D loss: 1.142897129058838, acc.: 30.226510763168335%] [G loss: [array(1.1430757, dtype=float32), array(1.1430757, dtype=float32), array(0.3021726, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "817 [D loss: 1.1429654359817505, acc.: 30.22967278957367%] [G loss: [array(1.1431371, dtype=float32), array(1.1431371, dtype=float32), array(0.3022043, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "818 [D loss: 1.1430211067199707, acc.: 30.230918526649475%] [G loss: [array(1.1431893, dtype=float32), array(1.1431893, dtype=float32), array(0.30221686, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "819 [D loss: 1.1430766582489014, acc.: 30.228349566459656%] [G loss: [array(1.1432419, dtype=float32), array(1.1432419, dtype=float32), array(0.30219132, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "820 [D loss: 1.1431310176849365, acc.: 30.22007644176483%] [G loss: [array(1.1432976, dtype=float32), array(1.1432976, dtype=float32), array(0.30210873, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "821 [D loss: 1.1431944370269775, acc.: 30.217528343200684%] [G loss: [array(1.1433698, dtype=float32), array(1.1433698, dtype=float32), array(0.30208334, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "822 [D loss: 1.1432654857635498, acc.: 30.2206814289093%] [G loss: [array(1.1434411, dtype=float32), array(1.1434411, dtype=float32), array(0.302115, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "823 [D loss: 1.143343210220337, acc.: 30.210548639297485%] [G loss: [array(1.143514, dtype=float32), array(1.143514, dtype=float32), array(0.3020138, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "824 [D loss: 1.1434036493301392, acc.: 30.21559715270996%] [G loss: [array(1.1435751, dtype=float32), array(1.1435751, dtype=float32), array(0.3020644, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "825 [D loss: 1.1434650421142578, acc.: 30.213069915771484%] [G loss: [array(1.1436347, dtype=float32), array(1.1436347, dtype=float32), array(0.3020392, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "826 [D loss: 1.143530249595642, acc.: 30.216211080551147%] [G loss: [array(1.1437033, dtype=float32), array(1.1437033, dtype=float32), array(0.30207074, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "827 [D loss: 1.1435890197753906, acc.: 30.21368384361267%] [G loss: [array(1.1437529, dtype=float32), array(1.1437529, dtype=float32), array(0.30204558, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "828 [D loss: 1.1436433792114258, acc.: 30.214935541152954%] [G loss: [array(1.1438137, dtype=float32), array(1.1438137, dtype=float32), array(0.30205822, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "829 [D loss: 1.1437010765075684, acc.: 30.22559881210327%] [G loss: [array(1.1438704, dtype=float32), array(1.1438704, dtype=float32), array(0.3021649, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "830 [D loss: 1.143758773803711, acc.: 30.226832628250122%] [G loss: [array(1.143925, dtype=float32), array(1.143925, dtype=float32), array(0.30217734, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "831 [D loss: 1.1438162326812744, acc.: 30.214911699295044%] [G loss: [array(1.1439809, dtype=float32), array(1.1439809, dtype=float32), array(0.3020583, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "832 [D loss: 1.143871545791626, acc.: 30.21990656852722%] [G loss: [array(1.1440425, dtype=float32), array(1.1440425, dtype=float32), array(0.30210835, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "833 [D loss: 1.1439385414123535, acc.: 30.213648080825806%] [G loss: [array(1.144105, dtype=float32), array(1.144105, dtype=float32), array(0.30204588, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "834 [D loss: 1.1439906358718872, acc.: 30.213016271591187%] [G loss: [array(1.1441549, dtype=float32), array(1.1441549, dtype=float32), array(0.30203968, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "835 [D loss: 1.1440504789352417, acc.: 30.221736431121826%] [G loss: [array(1.1442218, dtype=float32), array(1.1442218, dtype=float32), array(0.30212697, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "836 [D loss: 1.1441123485565186, acc.: 30.21923005580902%] [G loss: [array(1.1442804, dtype=float32), array(1.1442804, dtype=float32), array(0.30210203, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "837 [D loss: 1.1441650390625, acc.: 30.227920413017273%] [G loss: [array(1.1443264, dtype=float32), array(1.1443264, dtype=float32), array(0.302189, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "838 [D loss: 1.1442170143127441, acc.: 30.23286461830139%] [G loss: [array(1.1443833, dtype=float32), array(1.1443833, dtype=float32), array(0.30223852, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "839 [D loss: 1.1442794799804688, acc.: 30.2229106426239%] [G loss: [array(1.1444448, dtype=float32), array(1.1444448, dtype=float32), array(0.30213916, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "840 [D loss: 1.1443312168121338, acc.: 30.231565237045288%] [G loss: [array(1.1444962, dtype=float32), array(1.1444962, dtype=float32), array(0.30222577, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "841 [D loss: 1.1443877220153809, acc.: 30.23463487625122%] [G loss: [array(1.144556, dtype=float32), array(1.144556, dtype=float32), array(0.30225655, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "842 [D loss: 1.144449234008789, acc.: 30.224713683128357%] [G loss: [array(1.1446108, dtype=float32), array(1.1446108, dtype=float32), array(0.3021575, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "843 [D loss: 1.1445066928863525, acc.: 30.222225189208984%] [G loss: [array(1.144678, dtype=float32), array(1.144678, dtype=float32), array(0.30213273, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "844 [D loss: 1.1445770263671875, acc.: 30.2141934633255%] [G loss: [array(1.1447409, dtype=float32), array(1.1447409, dtype=float32), array(0.30205253, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "845 [D loss: 1.144631266593933, acc.: 30.21172285079956%] [G loss: [array(1.1447916, dtype=float32), array(1.1447916, dtype=float32), array(0.30202794, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "846 [D loss: 1.1446797847747803, acc.: 30.220329761505127%] [G loss: [array(1.1448447, dtype=float32), array(1.1448447, dtype=float32), array(0.30211407, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "847 [D loss: 1.1447484493255615, acc.: 30.217859148979187%] [G loss: [array(1.1449149, dtype=float32), array(1.1449149, dtype=float32), array(0.30208948, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "848 [D loss: 1.14480721950531, acc.: 30.222758650779724%] [G loss: [array(1.144975, dtype=float32), array(1.144975, dtype=float32), array(0.30213857, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "849 [D loss: 1.1448695659637451, acc.: 30.216610431671143%] [G loss: [array(1.1450347, dtype=float32), array(1.1450347, dtype=float32), array(0.30207723, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "850 [D loss: 1.1449177265167236, acc.: 30.221498012542725%] [G loss: [array(1.1450794, dtype=float32), array(1.1450794, dtype=float32), array(0.30212617, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "851 [D loss: 1.1449769735336304, acc.: 30.213534832000732%] [G loss: [array(1.145137, dtype=float32), array(1.145137, dtype=float32), array(0.30204666, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "852 [D loss: 1.1450295448303223, acc.: 30.218413472175598%] [G loss: [array(1.1451954, dtype=float32), array(1.1451954, dtype=float32), array(0.30209553, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "853 [D loss: 1.1450941562652588, acc.: 30.210471153259277%] [G loss: [array(1.1452531, dtype=float32), array(1.1452531, dtype=float32), array(0.30201623, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "854 [D loss: 1.1451456546783447, acc.: 30.215340852737427%] [G loss: [array(1.145312, dtype=float32), array(1.145312, dtype=float32), array(0.30206504, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "855 [D loss: 1.1451956033706665, acc.: 30.21838068962097%] [G loss: [array(1.1453514, dtype=float32), array(1.1453514, dtype=float32), array(0.3020955, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "856 [D loss: 1.1452418565750122, acc.: 30.21593689918518%] [G loss: [array(1.145403, dtype=float32), array(1.145403, dtype=float32), array(0.30207118, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "857 [D loss: 1.1452949047088623, acc.: 30.22078275680542%] [G loss: [array(1.1454614, dtype=float32), array(1.1454614, dtype=float32), array(0.30211976, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "858 [D loss: 1.1453523635864258, acc.: 30.22562265396118%] [G loss: [array(1.1455141, dtype=float32), array(1.1455141, dtype=float32), array(0.30216822, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "859 [D loss: 1.1454154253005981, acc.: 30.217725038528442%] [G loss: [array(1.1455784, dtype=float32), array(1.1455784, dtype=float32), array(0.3020894, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "860 [D loss: 1.1454753875732422, acc.: 30.22618591785431%] [G loss: [array(1.1456398, dtype=float32), array(1.1456398, dtype=float32), array(0.30217406, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "861 [D loss: 1.1455447673797607, acc.: 30.221936106681824%] [G loss: [array(1.145717, dtype=float32), array(1.145717, dtype=float32), array(0.30213168, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "862 [D loss: 1.145611047744751, acc.: 30.217695236206055%] [G loss: [array(1.1457711, dtype=float32), array(1.1457711, dtype=float32), array(0.30208936, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "863 [D loss: 1.1456654071807861, acc.: 30.218887329101562%] [G loss: [array(1.1458273, dtype=float32), array(1.1458273, dtype=float32), array(0.30210143, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "864 [D loss: 1.1457127332687378, acc.: 30.21646738052368%] [G loss: [array(1.1458657, dtype=float32), array(1.1458657, dtype=float32), array(0.3020773, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "865 [D loss: 1.1457481384277344, acc.: 30.22126853466034%] [G loss: [array(1.1459044, dtype=float32), array(1.1459044, dtype=float32), array(0.30212542, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "866 [D loss: 1.145803689956665, acc.: 30.218851566314697%] [G loss: [array(1.1459694, dtype=float32), array(1.1459694, dtype=float32), array(0.30210134, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "867 [D loss: 1.1458630561828613, acc.: 30.2236407995224%] [G loss: [array(1.1460285, dtype=float32), array(1.1460285, dtype=float32), array(0.30214933, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "868 [D loss: 1.1459264755249023, acc.: 30.228421092033386%] [G loss: [array(1.1460922, dtype=float32), array(1.1460922, dtype=float32), array(0.30219722, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "869 [D loss: 1.1459813117980957, acc.: 30.227798223495483%] [G loss: [array(1.146137, dtype=float32), array(1.146137, dtype=float32), array(0.30219108, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "870 [D loss: 1.1460254192352295, acc.: 30.230766534805298%] [G loss: [array(1.1461824, dtype=float32), array(1.1461824, dtype=float32), array(0.30222085, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "871 [D loss: 1.1460728645324707, acc.: 30.237311124801636%] [G loss: [array(1.1462319, dtype=float32), array(1.1462319, dtype=float32), array(0.3022864, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "872 [D loss: 1.1461222171783447, acc.: 30.242055654525757%] [G loss: [array(1.146279, dtype=float32), array(1.146279, dtype=float32), array(0.30233392, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "873 [D loss: 1.1461714506149292, acc.: 30.244994163513184%] [G loss: [array(1.1463314, dtype=float32), array(1.1463314, dtype=float32), array(0.30236343, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "874 [D loss: 1.1462252140045166, acc.: 30.24792969226837%] [G loss: [array(1.1463834, dtype=float32), array(1.1463834, dtype=float32), array(0.30239284, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "875 [D loss: 1.1462734937667847, acc.: 30.256211757659912%] [G loss: [array(1.1464331, dtype=float32), array(1.1464331, dtype=float32), array(0.30247575, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "876 [D loss: 1.1463254690170288, acc.: 30.253779888153076%] [G loss: [array(1.1464797, dtype=float32), array(1.1464797, dtype=float32), array(0.30245152, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "877 [D loss: 1.1463743448257446, acc.: 30.24957776069641%] [G loss: [array(1.1465291, dtype=float32), array(1.1465291, dtype=float32), array(0.30240962, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "878 [D loss: 1.1464155912399292, acc.: 30.252492427825928%] [G loss: [array(1.146569, dtype=float32), array(1.146569, dtype=float32), array(0.30243886, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "879 [D loss: 1.1464691162109375, acc.: 30.244743824005127%] [G loss: [array(1.1466292, dtype=float32), array(1.1466292, dtype=float32), array(0.3023615, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "880 [D loss: 1.1465206146240234, acc.: 30.247658491134644%] [G loss: [array(1.1466779, dtype=float32), array(1.1466779, dtype=float32), array(0.30239075, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "881 [D loss: 1.1465816497802734, acc.: 30.238163471221924%] [G loss: [array(1.1467396, dtype=float32), array(1.1467396, dtype=float32), array(0.30229592, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "882 [D loss: 1.1466368436813354, acc.: 30.23577332496643%] [G loss: [array(1.1467963, dtype=float32), array(1.1467963, dtype=float32), array(0.30227208, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "883 [D loss: 1.1466925144195557, acc.: 30.233383178710938%] [G loss: [array(1.1468486, dtype=float32), array(1.1468486, dtype=float32), array(0.30224833, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "884 [D loss: 1.1467442512512207, acc.: 30.234533548355103%] [G loss: [array(1.1469024, dtype=float32), array(1.1469024, dtype=float32), array(0.3022599, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "885 [D loss: 1.1467928886413574, acc.: 30.242735147476196%] [G loss: [array(1.1469499, dtype=float32), array(1.1469499, dtype=float32), array(0.302342, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "886 [D loss: 1.1468483209609985, acc.: 30.242109298706055%] [G loss: [array(1.14701, dtype=float32), array(1.14701, dtype=float32), array(0.3023358, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "887 [D loss: 1.1469115018844604, acc.: 30.23444414138794%] [G loss: [array(1.1470693, dtype=float32), array(1.1470693, dtype=float32), array(0.3022593, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "888 [D loss: 1.1469688415527344, acc.: 30.225038528442383%] [G loss: [array(1.1471244, dtype=float32), array(1.1471244, dtype=float32), array(0.30216536, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "889 [D loss: 1.1470160484313965, acc.: 30.231457948684692%] [G loss: [array(1.1471707, dtype=float32), array(1.1471707, dtype=float32), array(0.30222964, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "890 [D loss: 1.1470694541931152, acc.: 30.234354734420776%] [G loss: [array(1.1472259, dtype=float32), array(1.1472259, dtype=float32), array(0.3022587, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "891 [D loss: 1.1471221446990967, acc.: 30.235496163368225%] [G loss: [array(1.147282, dtype=float32), array(1.147282, dtype=float32), array(0.3022702, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "892 [D loss: 1.1471822261810303, acc.: 30.23488223552704%] [G loss: [array(1.1473402, dtype=float32), array(1.1473402, dtype=float32), array(0.30226415, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "893 [D loss: 1.1472381353378296, acc.: 30.23601770401001%] [G loss: [array(1.1473953, dtype=float32), array(1.1473953, dtype=float32), array(0.3022756, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "894 [D loss: 1.147275447845459, acc.: 30.244135856628418%] [G loss: [array(1.1474214, dtype=float32), array(1.1474214, dtype=float32), array(0.30235684, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "895 [D loss: 1.1473164558410645, acc.: 30.247002840042114%] [G loss: [array(1.1474717, dtype=float32), array(1.1474717, dtype=float32), array(0.30238563, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "896 [D loss: 1.147364854812622, acc.: 30.246376991271973%] [G loss: [array(1.1475158, dtype=float32), array(1.1475158, dtype=float32), array(0.30237946, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "897 [D loss: 1.1474133729934692, acc.: 30.24575710296631%] [G loss: [array(1.1475708, dtype=float32), array(1.1475708, dtype=float32), array(0.30237335, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "898 [D loss: 1.1474757194519043, acc.: 30.23991882801056%] [G loss: [array(1.1476336, dtype=float32), array(1.1476336, dtype=float32), array(0.30231506, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "899 [D loss: 1.147525429725647, acc.: 30.24277687072754%] [G loss: [array(1.1476791, dtype=float32), array(1.1476791, dtype=float32), array(0.30234376, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "900 [D loss: 1.1475720405578613, acc.: 30.247366428375244%] [G loss: [array(1.1477244, dtype=float32), array(1.1477244, dtype=float32), array(0.3023897, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "901 [D loss: 1.1476209163665771, acc.: 30.241546034812927%] [G loss: [array(1.147771, dtype=float32), array(1.147771, dtype=float32), array(0.30233163, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "902 [D loss: 1.1476632356643677, acc.: 30.246126651763916%] [G loss: [array(1.1478156, dtype=float32), array(1.1478156, dtype=float32), array(0.3023775, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "903 [D loss: 1.147714614868164, acc.: 30.24204969406128%] [G loss: [array(1.1478698, dtype=float32), array(1.1478698, dtype=float32), array(0.30233684, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "904 [D loss: 1.1477659940719604, acc.: 30.24834394454956%] [G loss: [array(1.1479197, dtype=float32), array(1.1479197, dtype=float32), array(0.30239987, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "905 [D loss: 1.1478066444396973, acc.: 30.249452590942383%] [G loss: [array(1.1479521, dtype=float32), array(1.1479521, dtype=float32), array(0.30241102, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "906 [D loss: 1.1478497982025146, acc.: 30.2453875541687%] [G loss: [array(1.1480027, dtype=float32), array(1.1480027, dtype=float32), array(0.30237046, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "907 [D loss: 1.1478921175003052, acc.: 30.251654982566833%] [G loss: [array(1.148043, dtype=float32), array(1.148043, dtype=float32), array(0.30243322, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "908 [D loss: 1.14793860912323, acc.: 30.25619089603424%] [G loss: [array(1.1480865, dtype=float32), array(1.1480865, dtype=float32), array(0.30247867, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "909 [D loss: 1.1479861736297607, acc.: 30.25728464126587%] [G loss: [array(1.1481414, dtype=float32), array(1.1481414, dtype=float32), array(0.3024897, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "910 [D loss: 1.1480419635772705, acc.: 30.25837540626526%] [G loss: [array(1.1481955, dtype=float32), array(1.1481955, dtype=float32), array(0.3025007, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "911 [D loss: 1.14809250831604, acc.: 30.252605676651%] [G loss: [array(1.1482427, dtype=float32), array(1.1482427, dtype=float32), array(0.30244312, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "912 [D loss: 1.1481385231018066, acc.: 30.260547995567322%] [G loss: [array(1.1482927, dtype=float32), array(1.1482927, dtype=float32), array(0.3025226, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "913 [D loss: 1.1481904983520508, acc.: 30.261629819869995%] [G loss: [array(1.1483406, dtype=float32), array(1.1483406, dtype=float32), array(0.3025335, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "914 [D loss: 1.148237943649292, acc.: 30.261003971099854%] [G loss: [array(1.1483893, dtype=float32), array(1.1483893, dtype=float32), array(0.30252734, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "915 [D loss: 1.1482796669006348, acc.: 30.263787508010864%] [G loss: [array(1.1484275, dtype=float32), array(1.1484275, dtype=float32), array(0.30255526, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "916 [D loss: 1.1483148336410522, acc.: 30.266568064689636%] [G loss: [array(1.1484611, dtype=float32), array(1.1484611, dtype=float32), array(0.30258313, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "917 [D loss: 1.1483654975891113, acc.: 30.26253581047058%] [G loss: [array(1.148518, dtype=float32), array(1.148518, dtype=float32), array(0.3025429, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "918 [D loss: 1.1484135389328003, acc.: 30.267009139060974%] [G loss: [array(1.1485656, dtype=float32), array(1.1485656, dtype=float32), array(0.30258772, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "919 [D loss: 1.1484532356262207, acc.: 30.279970169067383%] [G loss: [array(1.1486032, dtype=float32), array(1.1486032, dtype=float32), array(0.3027174, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "920 [D loss: 1.1485061645507812, acc.: 30.27932643890381%] [G loss: [array(1.1486572, dtype=float32), array(1.1486572, dtype=float32), array(0.30271107, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "921 [D loss: 1.1485567092895508, acc.: 30.282074213027954%] [G loss: [array(1.1487079, dtype=float32), array(1.1487079, dtype=float32), array(0.3027386, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "922 [D loss: 1.1486085653305054, acc.: 30.276349186897278%] [G loss: [array(1.1487589, dtype=float32), array(1.1487589, dtype=float32), array(0.30268148, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "923 [D loss: 1.1486496925354004, acc.: 30.282479524612427%] [G loss: [array(1.1487962, dtype=float32), array(1.1487962, dtype=float32), array(0.30274284, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "924 [D loss: 1.1486923694610596, acc.: 30.28690218925476%] [G loss: [array(1.1488428, dtype=float32), array(1.1488428, dtype=float32), array(0.30278715, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "925 [D loss: 1.1487373113632202, acc.: 30.289632081985474%] [G loss: [array(1.1488844, dtype=float32), array(1.1488844, dtype=float32), array(0.3028145, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "926 [D loss: 1.1487810611724854, acc.: 30.294039845466614%] [G loss: [array(1.1489308, dtype=float32), array(1.1489308, dtype=float32), array(0.30285868, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "927 [D loss: 1.1488267183303833, acc.: 30.300122499465942%] [G loss: [array(1.1489778, dtype=float32), array(1.1489778, dtype=float32), array(0.3029196, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "928 [D loss: 1.148879051208496, acc.: 30.30114471912384%] [G loss: [array(1.1490302, dtype=float32), array(1.1490302, dtype=float32), array(0.30292988, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "929 [D loss: 1.1489312648773193, acc.: 30.29712438583374%] [G loss: [array(1.1490788, dtype=float32), array(1.1490788, dtype=float32), array(0.3028898, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "930 [D loss: 1.1489720344543457, acc.: 30.299827456474304%] [G loss: [array(1.14912, dtype=float32), array(1.14912, dtype=float32), array(0.30291688, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "931 [D loss: 1.1490204334259033, acc.: 30.292463302612305%] [G loss: [array(1.1491647, dtype=float32), array(1.1491647, dtype=float32), array(0.30284333, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "932 [D loss: 1.149066686630249, acc.: 30.290138721466064%] [G loss: [array(1.1492139, dtype=float32), array(1.1492139, dtype=float32), array(0.30282018, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "933 [D loss: 1.1491130590438843, acc.: 30.2878201007843%] [G loss: [array(1.1492586, dtype=float32), array(1.1492586, dtype=float32), array(0.3027971, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "934 [D loss: 1.1491553783416748, acc.: 30.288848280906677%] [G loss: [array(1.1493026, dtype=float32), array(1.1493026, dtype=float32), array(0.30280748, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "935 [D loss: 1.1492063999176025, acc.: 30.291545391082764%] [G loss: [array(1.1493614, dtype=float32), array(1.1493614, dtype=float32), array(0.30283454, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "936 [D loss: 1.1492609977722168, acc.: 30.295905470848083%] [G loss: [array(1.1494105, dtype=float32), array(1.1494105, dtype=float32), array(0.3028782, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "937 [D loss: 1.149310827255249, acc.: 30.296921730041504%] [G loss: [array(1.1494575, dtype=float32), array(1.1494575, dtype=float32), array(0.30288845, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "938 [D loss: 1.1493605375289917, acc.: 30.291280150413513%] [G loss: [array(1.1495085, dtype=float32), array(1.1495085, dtype=float32), array(0.30283213, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "939 [D loss: 1.1494088172912598, acc.: 30.288976430892944%] [G loss: [array(1.1495556, dtype=float32), array(1.1495556, dtype=float32), array(0.30280918, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "940 [D loss: 1.1494629383087158, acc.: 30.289995670318604%] [G loss: [array(1.1496181, dtype=float32), array(1.1496181, dtype=float32), array(0.30281946, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "941 [D loss: 1.1495248079299927, acc.: 30.286037921905518%] [G loss: [array(1.1496798, dtype=float32), array(1.1496798, dtype=float32), array(0.30278, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "942 [D loss: 1.1495838165283203, acc.: 30.278775095939636%] [G loss: [array(1.1497338, dtype=float32), array(1.1497338, dtype=float32), array(0.30270746, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "943 [D loss: 1.1496334075927734, acc.: 30.273181200027466%] [G loss: [array(1.1497787, dtype=float32), array(1.1497787, dtype=float32), array(0.3026516, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "944 [D loss: 1.1496726274490356, acc.: 30.27421534061432%] [G loss: [array(1.1498132, dtype=float32), array(1.1498132, dtype=float32), array(0.30266204, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "945 [D loss: 1.149716854095459, acc.: 30.273592472076416%] [G loss: [array(1.1498668, dtype=float32), array(1.1498668, dtype=float32), array(0.3026559, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "946 [D loss: 1.1497567892074585, acc.: 30.27462661266327%] [G loss: [array(1.149898, dtype=float32), array(1.149898, dtype=float32), array(0.30266634, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n",
      "947 [D loss: 1.1497993469238281, acc.: 30.277305841445923%] [G loss: [array(1.149947, dtype=float32), array(1.149947, dtype=float32), array(0.3026932, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "948 [D loss: 1.1498491764068604, acc.: 30.27668297290802%] [G loss: [array(1.1499962, dtype=float32), array(1.1499962, dtype=float32), array(0.30268705, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "949 [D loss: 1.1498987674713135, acc.: 30.28099834918976%] [G loss: [array(1.1500478, dtype=float32), array(1.1500478, dtype=float32), array(0.3027303, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "950 [D loss: 1.149949073791504, acc.: 30.286946892738342%] [G loss: [array(1.1500951, dtype=float32), array(1.1500951, dtype=float32), array(0.30278984, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "951 [D loss: 1.1499853134155273, acc.: 30.296167731285095%] [G loss: [array(1.1501241, dtype=float32), array(1.1501241, dtype=float32), array(0.3028821, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "952 [D loss: 1.150022268295288, acc.: 30.297166109085083%] [G loss: [array(1.150168, dtype=float32), array(1.150168, dtype=float32), array(0.30289218, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "953 [D loss: 1.1500707864761353, acc.: 30.28997778892517%] [G loss: [array(1.1502166, dtype=float32), array(1.1502166, dtype=float32), array(0.30282035, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "954 [D loss: 1.1501171588897705, acc.: 30.28934597969055%] [G loss: [array(1.1502608, dtype=float32), array(1.1502608, dtype=float32), array(0.30281413, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "955 [D loss: 1.150167465209961, acc.: 30.287081003189087%] [G loss: [array(1.1503173, dtype=float32), array(1.1503173, dtype=float32), array(0.30279157, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "956 [D loss: 1.150221586227417, acc.: 30.28155267238617%] [G loss: [array(1.1503662, dtype=float32), array(1.1503662, dtype=float32), array(0.3027364, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "957 [D loss: 1.1502670049667358, acc.: 30.284196138381958%] [G loss: [array(1.1504111, dtype=float32), array(1.1504111, dtype=float32), array(0.30276293, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "958 [D loss: 1.1503098011016846, acc.: 30.2852064371109%] [G loss: [array(1.1504525, dtype=float32), array(1.1504525, dtype=float32), array(0.3027731, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "959 [D loss: 1.1503406763076782, acc.: 30.29109239578247%] [G loss: [array(1.1504772, dtype=float32), array(1.1504772, dtype=float32), array(0.30283204, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "960 [D loss: 1.1503772735595703, acc.: 30.295345187187195%] [G loss: [array(1.1505247, dtype=float32), array(1.1505247, dtype=float32), array(0.30287462, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "961 [D loss: 1.1504215002059937, acc.: 30.294710397720337%] [G loss: [array(1.1505591, dtype=float32), array(1.1505591, dtype=float32), array(0.30286837, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "962 [D loss: 1.1504640579223633, acc.: 30.292457342147827%] [G loss: [array(1.1506099, dtype=float32), array(1.1506099, dtype=float32), array(0.30284593, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\n",
      "963 [D loss: 1.1505067348480225, acc.: 30.290210247039795%] [G loss: [array(1.1506457, dtype=float32), array(1.1506457, dtype=float32), array(0.30282354, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "964 [D loss: 1.150545358657837, acc.: 30.28472661972046%] [G loss: [array(1.1506854, dtype=float32), array(1.1506854, dtype=float32), array(0.3027688, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "965 [D loss: 1.1505906581878662, acc.: 30.282491445541382%] [G loss: [array(1.1507357, dtype=float32), array(1.1507357, dtype=float32), array(0.3027465, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "966 [D loss: 1.1506412029266357, acc.: 30.280259251594543%] [G loss: [array(1.1507853, dtype=float32), array(1.1507853, dtype=float32), array(0.30272427, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "967 [D loss: 1.1506905555725098, acc.: 30.27641773223877%] [G loss: [array(1.1508358, dtype=float32), array(1.1508358, dtype=float32), array(0.30268595, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "968 [D loss: 1.150741457939148, acc.: 30.280649662017822%] [G loss: [array(1.1508883, dtype=float32), array(1.1508883, dtype=float32), array(0.30272835, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "969 [D loss: 1.150791883468628, acc.: 30.283260345458984%] [G loss: [array(1.1509384, dtype=float32), array(1.1509384, dtype=float32), array(0.30275452, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "970 [D loss: 1.1508471965789795, acc.: 30.277815461158752%] [G loss: [array(1.1509902, dtype=float32), array(1.1509902, dtype=float32), array(0.3027002, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "971 [D loss: 1.1508851051330566, acc.: 30.272385478019714%] [G loss: [array(1.1510175, dtype=float32), array(1.1510175, dtype=float32), array(0.30264598, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "972 [D loss: 1.15092134475708, acc.: 30.265358090400696%] [G loss: [array(1.1510617, dtype=float32), array(1.1510617, dtype=float32), array(0.3025758, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "973 [D loss: 1.1509621143341064, acc.: 30.263161659240723%] [G loss: [array(1.1511036, dtype=float32), array(1.1511036, dtype=float32), array(0.30255392, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "974 [D loss: 1.1510059833526611, acc.: 30.257761478424072%] [G loss: [array(1.1511445, dtype=float32), array(1.1511445, dtype=float32), array(0.30249998, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "975 [D loss: 1.1510412693023682, acc.: 30.257177352905273%] [G loss: [array(1.1511759, dtype=float32), array(1.1511759, dtype=float32), array(0.30249426, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "976 [D loss: 1.1510778665542603, acc.: 30.258190631866455%] [G loss: [array(1.1512183, dtype=float32), array(1.1512183, dtype=float32), array(0.30250448, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "977 [D loss: 1.151121973991394, acc.: 30.262404680252075%] [G loss: [array(1.1512684, dtype=float32), array(1.1512684, dtype=float32), array(0.30254665, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "978 [D loss: 1.151171088218689, acc.: 30.26660680770874%] [G loss: [array(1.151312, dtype=float32), array(1.151312, dtype=float32), array(0.30258876, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "979 [D loss: 1.1512144804000854, acc.: 30.264419317245483%] [G loss: [array(1.151354, dtype=float32), array(1.151354, dtype=float32), array(0.30256695, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "980 [D loss: 1.1512596607208252, acc.: 30.2606463432312%] [G loss: [array(1.1513983, dtype=float32), array(1.1513983, dtype=float32), array(0.3025293, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "981 [D loss: 1.1513044834136963, acc.: 30.252104997634888%] [G loss: [array(1.1514443, dtype=float32), array(1.1514443, dtype=float32), array(0.302444, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "982 [D loss: 1.1513429880142212, acc.: 30.2578866481781%] [G loss: [array(1.1514829, dtype=float32), array(1.1514829, dtype=float32), array(0.30250192, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "983 [D loss: 1.1513869762420654, acc.: 30.25413155555725%] [G loss: [array(1.151524, dtype=float32), array(1.151524, dtype=float32), array(0.30246446, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "984 [D loss: 1.151416540145874, acc.: 30.256730318069458%] [G loss: [array(1.1515523, dtype=float32), array(1.1515523, dtype=float32), array(0.3024905, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "985 [D loss: 1.1514544486999512, acc.: 30.257737636566162%] [G loss: [array(1.151591, dtype=float32), array(1.151591, dtype=float32), array(0.30250064, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "986 [D loss: 1.151491403579712, acc.: 30.255573987960815%] [G loss: [array(1.1516294, dtype=float32), array(1.1516294, dtype=float32), array(0.3024791, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "987 [D loss: 1.1515448093414307, acc.: 30.248671770095825%] [G loss: [array(1.1516917, dtype=float32), array(1.1516917, dtype=float32), array(0.3024102, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "988 [D loss: 1.1515977382659912, acc.: 30.243360996246338%] [G loss: [array(1.1517389, dtype=float32), array(1.1517389, dtype=float32), array(0.30235714, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "989 [D loss: 1.1516432762145996, acc.: 30.24280071258545%] [G loss: [array(1.1517848, dtype=float32), array(1.1517848, dtype=float32), array(0.30235162, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "990 [D loss: 1.1516830921173096, acc.: 30.24539351463318%] [G loss: [array(1.1518207, dtype=float32), array(1.1518207, dtype=float32), array(0.30237764, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "991 [D loss: 1.1517188549041748, acc.: 30.251136422157288%] [G loss: [array(1.1518567, dtype=float32), array(1.1518567, dtype=float32), array(0.3024351, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "992 [D loss: 1.1517531871795654, acc.: 30.258437991142273%] [G loss: [array(1.1518931, dtype=float32), array(1.1518931, dtype=float32), array(0.30250818, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n",
      "993 [D loss: 1.1517928838729858, acc.: 30.25314509868622%] [G loss: [array(1.1519271, dtype=float32), array(1.1519271, dtype=float32), array(0.30245534, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "994 [D loss: 1.1518298387527466, acc.: 30.255717039108276%] [G loss: [array(1.1519709, dtype=float32), array(1.1519709, dtype=float32), array(0.30248114, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n",
      "995 [D loss: 1.1518762111663818, acc.: 30.252012610435486%] [G loss: [array(1.1520174, dtype=float32), array(1.1520174, dtype=float32), array(0.3024442, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "996 [D loss: 1.1519211530685425, acc.: 30.248308181762695%] [G loss: [array(1.1520605, dtype=float32), array(1.1520605, dtype=float32), array(0.30240723, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "997 [D loss: 1.15195894241333, acc.: 30.250877141952515%] [G loss: [array(1.1520945, dtype=float32), array(1.1520945, dtype=float32), array(0.30243298, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "998 [D loss: 1.1520020961761475, acc.: 30.25187849998474%] [G loss: [array(1.1521425, dtype=float32), array(1.1521425, dtype=float32), array(0.30244306, dtype=float32)]]\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n",
      "999 [D loss: 1.1520477533340454, acc.: 30.2497535943985%] [G loss: [array(1.1521848, dtype=float32), array(1.1521848, dtype=float32), array(0.3024219, dtype=float32)]]\n"
     ]
    }
   ],
   "source": [
    "train(generator, discriminator, cgan, epochs=1000, batch_size=32, save_interval=1000)"
   ]
  }
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