Inception_skin_lesions.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Inception_skin_lesions.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyM/+mk58dD+BSmoEpCckZSY",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/deveshsangwan/Skin-lesions-classification/blob/main/Inception_skin_lesions.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zQVbFLe3Lv_M"
      },
      "source": [
        "import os\n",
        "from pydrive.auth import GoogleAuth\n",
        "from pydrive.drive import GoogleDrive\n",
        "from google.colab import auth\n",
        "from oauth2client.client import GoogleCredentials"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r-zNMgRA6JYf"
      },
      "source": [
        "auth.authenticate_user()\n",
        "gauth = GoogleAuth()\n",
        "gauth.credentials = GoogleCredentials.get_application_default()\n",
        "drive = GoogleDrive(gauth)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T1YKPp6A6Kyr"
      },
      "source": [
        "import os\n",
        "from glob import glob\n",
        "from PIL import Image\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "from tensorflow.keras.utils import to_categorical # convert to one-hot-encoding\n",
        "\n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "from tensorflow.keras import layers\n",
        "from tensorflow.keras import Model\n",
        "from tensorflow.keras.applications.inception_v3 import InceptionV3, preprocess_input\n",
        "from tensorflow.keras.optimizers import Adam\n",
        "from tensorflow.keras.callbacks import ReduceLROnPlateau, EarlyStopping\n",
        "from tensorflow.keras import backend as K\n",
        "\n",
        "%matplotlib inline\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zYlYFKF46MNY",
        "outputId": "5d2e9d99-b22b-4293-eea3-df0465d9f5bd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 127
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EmK35N9e27Qu"
      },
      "source": [
        "y_train = np.load(\"/content/drive/My Drive/Datasets/Skin_npy/y_train.npy\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IjHPwOaZ1A8X"
      },
      "source": [
        "X_train = np.load(\"/content/drive/My Drive/Datasets/Skin_npy/x_train.npy\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S-jVIN2K3enb"
      },
      "source": [
        "X_val = np.load(\"/content/drive/My Drive/Datasets/Skin_npy/x_validate.npy\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WdB-cl6W3nl2"
      },
      "source": [
        "y_val = np.load(\"/content/drive/My Drive/Datasets/Skin_npy/y_validate.npy\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UlN931Yg3vUh",
        "outputId": "1b25a1d1-16cd-48c2-f8dd-8e4929589bec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "X_train.shape, X_val.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((7210, 192, 256, 3), (802, 192, 256, 3))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VMKYGSdY3zwF",
        "outputId": "f7834282-6f33-4ade-d9f7-bca4e148340a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "y_train.shape, y_val.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((7210, 7), (802, 7))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zziPRxl_4QQn",
        "outputId": "63491b33-59a1-4d8e-a47d-96c8db657229",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        }
      },
      "source": [
        "\n",
        "pre_trained_model = InceptionV3(input_shape=(192, 256, 3), include_top=False, weights=\"imagenet\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/inception_v3/inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
            "87916544/87910968 [==============================] - 1s 0us/step\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7vWG_UfB4cIG",
        "outputId": "355535a9-0913-4a0d-a1c9-75e71d12d9cb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "for layer in pre_trained_model.layers:\n",
        "    print(layer.name)\n",
        "    layer.trainable = False\n",
        "    \n",
        "print(len(pre_trained_model.layers))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "input_1\n",
            "conv2d\n",
            "batch_normalization\n",
            "activation\n",
            "conv2d_1\n",
            "batch_normalization_1\n",
            "activation_1\n",
            "conv2d_2\n",
            "batch_normalization_2\n",
            "activation_2\n",
            "max_pooling2d\n",
            "conv2d_3\n",
            "batch_normalization_3\n",
            "activation_3\n",
            "conv2d_4\n",
            "batch_normalization_4\n",
            "activation_4\n",
            "max_pooling2d_1\n",
            "conv2d_8\n",
            "batch_normalization_8\n",
            "activation_8\n",
            "conv2d_6\n",
            "conv2d_9\n",
            "batch_normalization_6\n",
            "batch_normalization_9\n",
            "activation_6\n",
            "activation_9\n",
            "average_pooling2d\n",
            "conv2d_5\n",
            "conv2d_7\n",
            "conv2d_10\n",
            "conv2d_11\n",
            "batch_normalization_5\n",
            "batch_normalization_7\n",
            "batch_normalization_10\n",
            "batch_normalization_11\n",
            "activation_5\n",
            "activation_7\n",
            "activation_10\n",
            "activation_11\n",
            "mixed0\n",
            "conv2d_15\n",
            "batch_normalization_15\n",
            "activation_15\n",
            "conv2d_13\n",
            "conv2d_16\n",
            "batch_normalization_13\n",
            "batch_normalization_16\n",
            "activation_13\n",
            "activation_16\n",
            "average_pooling2d_1\n",
            "conv2d_12\n",
            "conv2d_14\n",
            "conv2d_17\n",
            "conv2d_18\n",
            "batch_normalization_12\n",
            "batch_normalization_14\n",
            "batch_normalization_17\n",
            "batch_normalization_18\n",
            "activation_12\n",
            "activation_14\n",
            "activation_17\n",
            "activation_18\n",
            "mixed1\n",
            "conv2d_22\n",
            "batch_normalization_22\n",
            "activation_22\n",
            "conv2d_20\n",
            "conv2d_23\n",
            "batch_normalization_20\n",
            "batch_normalization_23\n",
            "activation_20\n",
            "activation_23\n",
            "average_pooling2d_2\n",
            "conv2d_19\n",
            "conv2d_21\n",
            "conv2d_24\n",
            "conv2d_25\n",
            "batch_normalization_19\n",
            "batch_normalization_21\n",
            "batch_normalization_24\n",
            "batch_normalization_25\n",
            "activation_19\n",
            "activation_21\n",
            "activation_24\n",
            "activation_25\n",
            "mixed2\n",
            "conv2d_27\n",
            "batch_normalization_27\n",
            "activation_27\n",
            "conv2d_28\n",
            "batch_normalization_28\n",
            "activation_28\n",
            "conv2d_26\n",
            "conv2d_29\n",
            "batch_normalization_26\n",
            "batch_normalization_29\n",
            "activation_26\n",
            "activation_29\n",
            "max_pooling2d_2\n",
            "mixed3\n",
            "conv2d_34\n",
            "batch_normalization_34\n",
            "activation_34\n",
            "conv2d_35\n",
            "batch_normalization_35\n",
            "activation_35\n",
            "conv2d_31\n",
            "conv2d_36\n",
            "batch_normalization_31\n",
            "batch_normalization_36\n",
            "activation_31\n",
            "activation_36\n",
            "conv2d_32\n",
            "conv2d_37\n",
            "batch_normalization_32\n",
            "batch_normalization_37\n",
            "activation_32\n",
            "activation_37\n",
            "average_pooling2d_3\n",
            "conv2d_30\n",
            "conv2d_33\n",
            "conv2d_38\n",
            "conv2d_39\n",
            "batch_normalization_30\n",
            "batch_normalization_33\n",
            "batch_normalization_38\n",
            "batch_normalization_39\n",
            "activation_30\n",
            "activation_33\n",
            "activation_38\n",
            "activation_39\n",
            "mixed4\n",
            "conv2d_44\n",
            "batch_normalization_44\n",
            "activation_44\n",
            "conv2d_45\n",
            "batch_normalization_45\n",
            "activation_45\n",
            "conv2d_41\n",
            "conv2d_46\n",
            "batch_normalization_41\n",
            "batch_normalization_46\n",
            "activation_41\n",
            "activation_46\n",
            "conv2d_42\n",
            "conv2d_47\n",
            "batch_normalization_42\n",
            "batch_normalization_47\n",
            "activation_42\n",
            "activation_47\n",
            "average_pooling2d_4\n",
            "conv2d_40\n",
            "conv2d_43\n",
            "conv2d_48\n",
            "conv2d_49\n",
            "batch_normalization_40\n",
            "batch_normalization_43\n",
            "batch_normalization_48\n",
            "batch_normalization_49\n",
            "activation_40\n",
            "activation_43\n",
            "activation_48\n",
            "activation_49\n",
            "mixed5\n",
            "conv2d_54\n",
            "batch_normalization_54\n",
            "activation_54\n",
            "conv2d_55\n",
            "batch_normalization_55\n",
            "activation_55\n",
            "conv2d_51\n",
            "conv2d_56\n",
            "batch_normalization_51\n",
            "batch_normalization_56\n",
            "activation_51\n",
            "activation_56\n",
            "conv2d_52\n",
            "conv2d_57\n",
            "batch_normalization_52\n",
            "batch_normalization_57\n",
            "activation_52\n",
            "activation_57\n",
            "average_pooling2d_5\n",
            "conv2d_50\n",
            "conv2d_53\n",
            "conv2d_58\n",
            "conv2d_59\n",
            "batch_normalization_50\n",
            "batch_normalization_53\n",
            "batch_normalization_58\n",
            "batch_normalization_59\n",
            "activation_50\n",
            "activation_53\n",
            "activation_58\n",
            "activation_59\n",
            "mixed6\n",
            "conv2d_64\n",
            "batch_normalization_64\n",
            "activation_64\n",
            "conv2d_65\n",
            "batch_normalization_65\n",
            "activation_65\n",
            "conv2d_61\n",
            "conv2d_66\n",
            "batch_normalization_61\n",
            "batch_normalization_66\n",
            "activation_61\n",
            "activation_66\n",
            "conv2d_62\n",
            "conv2d_67\n",
            "batch_normalization_62\n",
            "batch_normalization_67\n",
            "activation_62\n",
            "activation_67\n",
            "average_pooling2d_6\n",
            "conv2d_60\n",
            "conv2d_63\n",
            "conv2d_68\n",
            "conv2d_69\n",
            "batch_normalization_60\n",
            "batch_normalization_63\n",
            "batch_normalization_68\n",
            "batch_normalization_69\n",
            "activation_60\n",
            "activation_63\n",
            "activation_68\n",
            "activation_69\n",
            "mixed7\n",
            "conv2d_72\n",
            "batch_normalization_72\n",
            "activation_72\n",
            "conv2d_73\n",
            "batch_normalization_73\n",
            "activation_73\n",
            "conv2d_70\n",
            "conv2d_74\n",
            "batch_normalization_70\n",
            "batch_normalization_74\n",
            "activation_70\n",
            "activation_74\n",
            "conv2d_71\n",
            "conv2d_75\n",
            "batch_normalization_71\n",
            "batch_normalization_75\n",
            "activation_71\n",
            "activation_75\n",
            "max_pooling2d_3\n",
            "mixed8\n",
            "conv2d_80\n",
            "batch_normalization_80\n",
            "activation_80\n",
            "conv2d_77\n",
            "conv2d_81\n",
            "batch_normalization_77\n",
            "batch_normalization_81\n",
            "activation_77\n",
            "activation_81\n",
            "conv2d_78\n",
            "conv2d_79\n",
            "conv2d_82\n",
            "conv2d_83\n",
            "average_pooling2d_7\n",
            "conv2d_76\n",
            "batch_normalization_78\n",
            "batch_normalization_79\n",
            "batch_normalization_82\n",
            "batch_normalization_83\n",
            "conv2d_84\n",
            "batch_normalization_76\n",
            "activation_78\n",
            "activation_79\n",
            "activation_82\n",
            "activation_83\n",
            "batch_normalization_84\n",
            "activation_76\n",
            "mixed9_0\n",
            "concatenate\n",
            "activation_84\n",
            "mixed9\n",
            "conv2d_89\n",
            "batch_normalization_89\n",
            "activation_89\n",
            "conv2d_86\n",
            "conv2d_90\n",
            "batch_normalization_86\n",
            "batch_normalization_90\n",
            "activation_86\n",
            "activation_90\n",
            "conv2d_87\n",
            "conv2d_88\n",
            "conv2d_91\n",
            "conv2d_92\n",
            "average_pooling2d_8\n",
            "conv2d_85\n",
            "batch_normalization_87\n",
            "batch_normalization_88\n",
            "batch_normalization_91\n",
            "batch_normalization_92\n",
            "conv2d_93\n",
            "batch_normalization_85\n",
            "activation_87\n",
            "activation_88\n",
            "activation_91\n",
            "activation_92\n",
            "batch_normalization_93\n",
            "activation_85\n",
            "mixed9_1\n",
            "concatenate_1\n",
            "activation_93\n",
            "mixed10\n",
            "311\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RkUG7SfH4jN0",
        "outputId": "bef2d974-4f59-427d-df05-78d0236bd7f3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "last_layer = pre_trained_model.get_layer('mixed10')\n",
        "print('last layer output shape:', last_layer.output_shape)\n",
        "last_output = last_layer.output"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "last layer output shape: (None, 4, 6, 2048)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ktpcpv0g4qFt"
      },
      "source": [
        "# Flatten the output layer to 1 dimension\n",
        "x = layers.GlobalMaxPooling2D()(last_output)\n",
        "# Add a fully connected layer with 512 hidden units and ReLU activation\n",
        "x = layers.Dense(512, activation='relu')(x)\n",
        "# Add a dropout rate of 0.5\n",
        "x = layers.Dropout(0.5)(x)\n",
        "# Add a final sigmoid layer for classification\n",
        "x = layers.Dense(7, activation='softmax')(x)\n",
        "\n",
        "# Configure and compile the model\n",
        "\n",
        "model = Model(pre_trained_model.input, x)\n",
        "optimizer = Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=True)\n",
        "model.compile(loss='categorical_crossentropy',\n",
        "              optimizer=optimizer,\n",
        "              metrics=['accuracy'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WuY2oElT45-s"
      },
      "source": [
        "train_datagen = ImageDataGenerator(\n",
        "        featurewise_center=False,  # set input mean to 0 over the dataset\n",
        "        samplewise_center=False,  # set each sample mean to 0\n",
        "        featurewise_std_normalization=False,  # divide inputs by std of the dataset\n",
        "        samplewise_std_normalization=False,  # divide each input by its std\n",
        "        zca_whitening=False,  # apply ZCA whitening\n",
        "        rotation_range=90,  # randomly rotate images in the range (degrees, 0 to 180)\n",
        "        zoom_range = 0.1, # Randomly zoom image \n",
        "        width_shift_range=0.1,  # randomly shift images horizontally (fraction of total width)\n",
        "        height_shift_range=0.1,  # randomly shift images vertically (fraction of total height)\n",
        "        horizontal_flip=True,  # randomly flip images\n",
        "        vertical_flip=True,  # randomly flip images\n",
        "        shear_range = 10)\n",
        "\n",
        "train_datagen.fit(X_train)\n",
        "\n",
        "val_datagen = ImageDataGenerator()\n",
        "val_datagen.fit(X_val)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IBWK621D5TK1"
      },
      "source": [
        "for layer in pre_trained_model.layers:\n",
        "    layer.trainable = True"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dRXzeiEF5nk3"
      },
      "source": [
        "optimizer = Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)\n",
        "model.compile(loss='categorical_crossentropy',\n",
        "              optimizer=optimizer,\n",
        "              metrics=['acc'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TlAVa1em5qiN"
      },
      "source": [
        "learning_rate_reduction = ReduceLROnPlateau(monitor='val_acc', patience=3, verbose=1, factor=0.5, \n",
        "                                            min_lr=0.000001, cooldown=2)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "up-S_ilj5vO3",
        "outputId": "ee5ac286-7046-42b5-dbd7-4f019e2aa79c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"model\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 192, 256, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d (Conv2D)                 (None, 95, 127, 32)  864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization (BatchNorma (None, 95, 127, 32)  96          conv2d[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "activation (Activation)         (None, 95, 127, 32)  0           batch_normalization[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_1 (Conv2D)               (None, 93, 125, 32)  9216        activation[0][0]                 \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_1 (BatchNor (None, 93, 125, 32)  96          conv2d_1[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_1 (Activation)       (None, 93, 125, 32)  0           batch_normalization_1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_2 (Conv2D)               (None, 93, 125, 64)  18432       activation_1[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_2 (BatchNor (None, 93, 125, 64)  192         conv2d_2[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_2 (Activation)       (None, 93, 125, 64)  0           batch_normalization_2[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d (MaxPooling2D)    (None, 46, 62, 64)   0           activation_2[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_3 (Conv2D)               (None, 46, 62, 80)   5120        max_pooling2d[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_3 (BatchNor (None, 46, 62, 80)   240         conv2d_3[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_3 (Activation)       (None, 46, 62, 80)   0           batch_normalization_3[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_4 (Conv2D)               (None, 44, 60, 192)  138240      activation_3[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_4 (BatchNor (None, 44, 60, 192)  576         conv2d_4[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_4 (Activation)       (None, 44, 60, 192)  0           batch_normalization_4[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_1 (MaxPooling2D)  (None, 21, 29, 192)  0           activation_4[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_8 (Conv2D)               (None, 21, 29, 64)   12288       max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_8 (BatchNor (None, 21, 29, 64)   192         conv2d_8[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_8 (Activation)       (None, 21, 29, 64)   0           batch_normalization_8[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_6 (Conv2D)               (None, 21, 29, 48)   9216        max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_9 (Conv2D)               (None, 21, 29, 96)   55296       activation_8[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_6 (BatchNor (None, 21, 29, 48)   144         conv2d_6[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_9 (BatchNor (None, 21, 29, 96)   288         conv2d_9[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_6 (Activation)       (None, 21, 29, 48)   0           batch_normalization_6[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "activation_9 (Activation)       (None, 21, 29, 96)   0           batch_normalization_9[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d (AveragePooli (None, 21, 29, 192)  0           max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_5 (Conv2D)               (None, 21, 29, 64)   12288       max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_7 (Conv2D)               (None, 21, 29, 64)   76800       activation_6[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_10 (Conv2D)              (None, 21, 29, 96)   82944       activation_9[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_11 (Conv2D)              (None, 21, 29, 32)   6144        average_pooling2d[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_5 (BatchNor (None, 21, 29, 64)   192         conv2d_5[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_7 (BatchNor (None, 21, 29, 64)   192         conv2d_7[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_10 (BatchNo (None, 21, 29, 96)   288         conv2d_10[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_11 (BatchNo (None, 21, 29, 32)   96          conv2d_11[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_5 (Activation)       (None, 21, 29, 64)   0           batch_normalization_5[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "activation_7 (Activation)       (None, 21, 29, 64)   0           batch_normalization_7[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "activation_10 (Activation)      (None, 21, 29, 96)   0           batch_normalization_10[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_11 (Activation)      (None, 21, 29, 32)   0           batch_normalization_11[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed0 (Concatenate)            (None, 21, 29, 256)  0           activation_5[0][0]               \n",
            "                                                                 activation_7[0][0]               \n",
            "                                                                 activation_10[0][0]              \n",
            "                                                                 activation_11[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_15 (Conv2D)              (None, 21, 29, 64)   16384       mixed0[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_15 (BatchNo (None, 21, 29, 64)   192         conv2d_15[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_15 (Activation)      (None, 21, 29, 64)   0           batch_normalization_15[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_13 (Conv2D)              (None, 21, 29, 48)   12288       mixed0[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_16 (Conv2D)              (None, 21, 29, 96)   55296       activation_15[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_13 (BatchNo (None, 21, 29, 48)   144         conv2d_13[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_16 (BatchNo (None, 21, 29, 96)   288         conv2d_16[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_13 (Activation)      (None, 21, 29, 48)   0           batch_normalization_13[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_16 (Activation)      (None, 21, 29, 96)   0           batch_normalization_16[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_1 (AveragePoo (None, 21, 29, 256)  0           mixed0[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_12 (Conv2D)              (None, 21, 29, 64)   16384       mixed0[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_14 (Conv2D)              (None, 21, 29, 64)   76800       activation_13[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_17 (Conv2D)              (None, 21, 29, 96)   82944       activation_16[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_18 (Conv2D)              (None, 21, 29, 64)   16384       average_pooling2d_1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_12 (BatchNo (None, 21, 29, 64)   192         conv2d_12[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_14 (BatchNo (None, 21, 29, 64)   192         conv2d_14[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_17 (BatchNo (None, 21, 29, 96)   288         conv2d_17[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_18 (BatchNo (None, 21, 29, 64)   192         conv2d_18[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_12 (Activation)      (None, 21, 29, 64)   0           batch_normalization_12[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_14 (Activation)      (None, 21, 29, 64)   0           batch_normalization_14[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_17 (Activation)      (None, 21, 29, 96)   0           batch_normalization_17[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_18 (Activation)      (None, 21, 29, 64)   0           batch_normalization_18[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed1 (Concatenate)            (None, 21, 29, 288)  0           activation_12[0][0]              \n",
            "                                                                 activation_14[0][0]              \n",
            "                                                                 activation_17[0][0]              \n",
            "                                                                 activation_18[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_22 (Conv2D)              (None, 21, 29, 64)   18432       mixed1[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_22 (BatchNo (None, 21, 29, 64)   192         conv2d_22[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_22 (Activation)      (None, 21, 29, 64)   0           batch_normalization_22[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_20 (Conv2D)              (None, 21, 29, 48)   13824       mixed1[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_23 (Conv2D)              (None, 21, 29, 96)   55296       activation_22[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_20 (BatchNo (None, 21, 29, 48)   144         conv2d_20[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_23 (BatchNo (None, 21, 29, 96)   288         conv2d_23[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_20 (Activation)      (None, 21, 29, 48)   0           batch_normalization_20[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_23 (Activation)      (None, 21, 29, 96)   0           batch_normalization_23[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_2 (AveragePoo (None, 21, 29, 288)  0           mixed1[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_19 (Conv2D)              (None, 21, 29, 64)   18432       mixed1[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_21 (Conv2D)              (None, 21, 29, 64)   76800       activation_20[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_24 (Conv2D)              (None, 21, 29, 96)   82944       activation_23[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_25 (Conv2D)              (None, 21, 29, 64)   18432       average_pooling2d_2[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_19 (BatchNo (None, 21, 29, 64)   192         conv2d_19[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_21 (BatchNo (None, 21, 29, 64)   192         conv2d_21[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_24 (BatchNo (None, 21, 29, 96)   288         conv2d_24[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_25 (BatchNo (None, 21, 29, 64)   192         conv2d_25[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_19 (Activation)      (None, 21, 29, 64)   0           batch_normalization_19[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_21 (Activation)      (None, 21, 29, 64)   0           batch_normalization_21[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_24 (Activation)      (None, 21, 29, 96)   0           batch_normalization_24[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_25 (Activation)      (None, 21, 29, 64)   0           batch_normalization_25[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed2 (Concatenate)            (None, 21, 29, 288)  0           activation_19[0][0]              \n",
            "                                                                 activation_21[0][0]              \n",
            "                                                                 activation_24[0][0]              \n",
            "                                                                 activation_25[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_27 (Conv2D)              (None, 21, 29, 64)   18432       mixed2[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_27 (BatchNo (None, 21, 29, 64)   192         conv2d_27[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_27 (Activation)      (None, 21, 29, 64)   0           batch_normalization_27[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_28 (Conv2D)              (None, 21, 29, 96)   55296       activation_27[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_28 (BatchNo (None, 21, 29, 96)   288         conv2d_28[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_28 (Activation)      (None, 21, 29, 96)   0           batch_normalization_28[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_26 (Conv2D)              (None, 10, 14, 384)  995328      mixed2[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_29 (Conv2D)              (None, 10, 14, 96)   82944       activation_28[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_26 (BatchNo (None, 10, 14, 384)  1152        conv2d_26[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_29 (BatchNo (None, 10, 14, 96)   288         conv2d_29[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_26 (Activation)      (None, 10, 14, 384)  0           batch_normalization_26[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_29 (Activation)      (None, 10, 14, 96)   0           batch_normalization_29[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_2 (MaxPooling2D)  (None, 10, 14, 288)  0           mixed2[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "mixed3 (Concatenate)            (None, 10, 14, 768)  0           activation_26[0][0]              \n",
            "                                                                 activation_29[0][0]              \n",
            "                                                                 max_pooling2d_2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_34 (Conv2D)              (None, 10, 14, 128)  98304       mixed3[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_34 (BatchNo (None, 10, 14, 128)  384         conv2d_34[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_34 (Activation)      (None, 10, 14, 128)  0           batch_normalization_34[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_35 (Conv2D)              (None, 10, 14, 128)  114688      activation_34[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_35 (BatchNo (None, 10, 14, 128)  384         conv2d_35[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_35 (Activation)      (None, 10, 14, 128)  0           batch_normalization_35[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_31 (Conv2D)              (None, 10, 14, 128)  98304       mixed3[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_36 (Conv2D)              (None, 10, 14, 128)  114688      activation_35[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_31 (BatchNo (None, 10, 14, 128)  384         conv2d_31[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_36 (BatchNo (None, 10, 14, 128)  384         conv2d_36[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_31 (Activation)      (None, 10, 14, 128)  0           batch_normalization_31[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_36 (Activation)      (None, 10, 14, 128)  0           batch_normalization_36[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_32 (Conv2D)              (None, 10, 14, 128)  114688      activation_31[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_37 (Conv2D)              (None, 10, 14, 128)  114688      activation_36[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_32 (BatchNo (None, 10, 14, 128)  384         conv2d_32[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_37 (BatchNo (None, 10, 14, 128)  384         conv2d_37[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_32 (Activation)      (None, 10, 14, 128)  0           batch_normalization_32[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_37 (Activation)      (None, 10, 14, 128)  0           batch_normalization_37[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_3 (AveragePoo (None, 10, 14, 768)  0           mixed3[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_30 (Conv2D)              (None, 10, 14, 192)  147456      mixed3[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_33 (Conv2D)              (None, 10, 14, 192)  172032      activation_32[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_38 (Conv2D)              (None, 10, 14, 192)  172032      activation_37[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_39 (Conv2D)              (None, 10, 14, 192)  147456      average_pooling2d_3[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_30 (BatchNo (None, 10, 14, 192)  576         conv2d_30[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_33 (BatchNo (None, 10, 14, 192)  576         conv2d_33[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_38 (BatchNo (None, 10, 14, 192)  576         conv2d_38[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_39 (BatchNo (None, 10, 14, 192)  576         conv2d_39[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_30 (Activation)      (None, 10, 14, 192)  0           batch_normalization_30[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_33 (Activation)      (None, 10, 14, 192)  0           batch_normalization_33[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_38 (Activation)      (None, 10, 14, 192)  0           batch_normalization_38[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_39 (Activation)      (None, 10, 14, 192)  0           batch_normalization_39[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed4 (Concatenate)            (None, 10, 14, 768)  0           activation_30[0][0]              \n",
            "                                                                 activation_33[0][0]              \n",
            "                                                                 activation_38[0][0]              \n",
            "                                                                 activation_39[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_44 (Conv2D)              (None, 10, 14, 160)  122880      mixed4[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_44 (BatchNo (None, 10, 14, 160)  480         conv2d_44[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_44 (Activation)      (None, 10, 14, 160)  0           batch_normalization_44[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_45 (Conv2D)              (None, 10, 14, 160)  179200      activation_44[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_45 (BatchNo (None, 10, 14, 160)  480         conv2d_45[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_45 (Activation)      (None, 10, 14, 160)  0           batch_normalization_45[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_41 (Conv2D)              (None, 10, 14, 160)  122880      mixed4[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_46 (Conv2D)              (None, 10, 14, 160)  179200      activation_45[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_41 (BatchNo (None, 10, 14, 160)  480         conv2d_41[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_46 (BatchNo (None, 10, 14, 160)  480         conv2d_46[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_41 (Activation)      (None, 10, 14, 160)  0           batch_normalization_41[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_46 (Activation)      (None, 10, 14, 160)  0           batch_normalization_46[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_42 (Conv2D)              (None, 10, 14, 160)  179200      activation_41[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_47 (Conv2D)              (None, 10, 14, 160)  179200      activation_46[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_42 (BatchNo (None, 10, 14, 160)  480         conv2d_42[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_47 (BatchNo (None, 10, 14, 160)  480         conv2d_47[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_42 (Activation)      (None, 10, 14, 160)  0           batch_normalization_42[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_47 (Activation)      (None, 10, 14, 160)  0           batch_normalization_47[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_4 (AveragePoo (None, 10, 14, 768)  0           mixed4[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_40 (Conv2D)              (None, 10, 14, 192)  147456      mixed4[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_43 (Conv2D)              (None, 10, 14, 192)  215040      activation_42[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_48 (Conv2D)              (None, 10, 14, 192)  215040      activation_47[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_49 (Conv2D)              (None, 10, 14, 192)  147456      average_pooling2d_4[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_40 (BatchNo (None, 10, 14, 192)  576         conv2d_40[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_43 (BatchNo (None, 10, 14, 192)  576         conv2d_43[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_48 (BatchNo (None, 10, 14, 192)  576         conv2d_48[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_49 (BatchNo (None, 10, 14, 192)  576         conv2d_49[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_40 (Activation)      (None, 10, 14, 192)  0           batch_normalization_40[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_43 (Activation)      (None, 10, 14, 192)  0           batch_normalization_43[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_48 (Activation)      (None, 10, 14, 192)  0           batch_normalization_48[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_49 (Activation)      (None, 10, 14, 192)  0           batch_normalization_49[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed5 (Concatenate)            (None, 10, 14, 768)  0           activation_40[0][0]              \n",
            "                                                                 activation_43[0][0]              \n",
            "                                                                 activation_48[0][0]              \n",
            "                                                                 activation_49[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_54 (Conv2D)              (None, 10, 14, 160)  122880      mixed5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_54 (BatchNo (None, 10, 14, 160)  480         conv2d_54[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_54 (Activation)      (None, 10, 14, 160)  0           batch_normalization_54[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_55 (Conv2D)              (None, 10, 14, 160)  179200      activation_54[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_55 (BatchNo (None, 10, 14, 160)  480         conv2d_55[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_55 (Activation)      (None, 10, 14, 160)  0           batch_normalization_55[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_51 (Conv2D)              (None, 10, 14, 160)  122880      mixed5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_56 (Conv2D)              (None, 10, 14, 160)  179200      activation_55[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_51 (BatchNo (None, 10, 14, 160)  480         conv2d_51[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_56 (BatchNo (None, 10, 14, 160)  480         conv2d_56[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_51 (Activation)      (None, 10, 14, 160)  0           batch_normalization_51[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_56 (Activation)      (None, 10, 14, 160)  0           batch_normalization_56[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_52 (Conv2D)              (None, 10, 14, 160)  179200      activation_51[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_57 (Conv2D)              (None, 10, 14, 160)  179200      activation_56[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_52 (BatchNo (None, 10, 14, 160)  480         conv2d_52[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_57 (BatchNo (None, 10, 14, 160)  480         conv2d_57[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_52 (Activation)      (None, 10, 14, 160)  0           batch_normalization_52[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_57 (Activation)      (None, 10, 14, 160)  0           batch_normalization_57[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_5 (AveragePoo (None, 10, 14, 768)  0           mixed5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_50 (Conv2D)              (None, 10, 14, 192)  147456      mixed5[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_53 (Conv2D)              (None, 10, 14, 192)  215040      activation_52[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_58 (Conv2D)              (None, 10, 14, 192)  215040      activation_57[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_59 (Conv2D)              (None, 10, 14, 192)  147456      average_pooling2d_5[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_50 (BatchNo (None, 10, 14, 192)  576         conv2d_50[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_53 (BatchNo (None, 10, 14, 192)  576         conv2d_53[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_58 (BatchNo (None, 10, 14, 192)  576         conv2d_58[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_59 (BatchNo (None, 10, 14, 192)  576         conv2d_59[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_50 (Activation)      (None, 10, 14, 192)  0           batch_normalization_50[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_53 (Activation)      (None, 10, 14, 192)  0           batch_normalization_53[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_58 (Activation)      (None, 10, 14, 192)  0           batch_normalization_58[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_59 (Activation)      (None, 10, 14, 192)  0           batch_normalization_59[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed6 (Concatenate)            (None, 10, 14, 768)  0           activation_50[0][0]              \n",
            "                                                                 activation_53[0][0]              \n",
            "                                                                 activation_58[0][0]              \n",
            "                                                                 activation_59[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_64 (Conv2D)              (None, 10, 14, 192)  147456      mixed6[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_64 (BatchNo (None, 10, 14, 192)  576         conv2d_64[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_64 (Activation)      (None, 10, 14, 192)  0           batch_normalization_64[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_65 (Conv2D)              (None, 10, 14, 192)  258048      activation_64[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_65 (BatchNo (None, 10, 14, 192)  576         conv2d_65[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_65 (Activation)      (None, 10, 14, 192)  0           batch_normalization_65[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_61 (Conv2D)              (None, 10, 14, 192)  147456      mixed6[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_66 (Conv2D)              (None, 10, 14, 192)  258048      activation_65[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_61 (BatchNo (None, 10, 14, 192)  576         conv2d_61[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_66 (BatchNo (None, 10, 14, 192)  576         conv2d_66[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_61 (Activation)      (None, 10, 14, 192)  0           batch_normalization_61[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_66 (Activation)      (None, 10, 14, 192)  0           batch_normalization_66[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_62 (Conv2D)              (None, 10, 14, 192)  258048      activation_61[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_67 (Conv2D)              (None, 10, 14, 192)  258048      activation_66[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_62 (BatchNo (None, 10, 14, 192)  576         conv2d_62[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_67 (BatchNo (None, 10, 14, 192)  576         conv2d_67[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_62 (Activation)      (None, 10, 14, 192)  0           batch_normalization_62[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_67 (Activation)      (None, 10, 14, 192)  0           batch_normalization_67[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_6 (AveragePoo (None, 10, 14, 768)  0           mixed6[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_60 (Conv2D)              (None, 10, 14, 192)  147456      mixed6[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_63 (Conv2D)              (None, 10, 14, 192)  258048      activation_62[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_68 (Conv2D)              (None, 10, 14, 192)  258048      activation_67[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_69 (Conv2D)              (None, 10, 14, 192)  147456      average_pooling2d_6[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_60 (BatchNo (None, 10, 14, 192)  576         conv2d_60[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_63 (BatchNo (None, 10, 14, 192)  576         conv2d_63[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_68 (BatchNo (None, 10, 14, 192)  576         conv2d_68[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_69 (BatchNo (None, 10, 14, 192)  576         conv2d_69[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_60 (Activation)      (None, 10, 14, 192)  0           batch_normalization_60[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_63 (Activation)      (None, 10, 14, 192)  0           batch_normalization_63[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_68 (Activation)      (None, 10, 14, 192)  0           batch_normalization_68[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_69 (Activation)      (None, 10, 14, 192)  0           batch_normalization_69[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed7 (Concatenate)            (None, 10, 14, 768)  0           activation_60[0][0]              \n",
            "                                                                 activation_63[0][0]              \n",
            "                                                                 activation_68[0][0]              \n",
            "                                                                 activation_69[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_72 (Conv2D)              (None, 10, 14, 192)  147456      mixed7[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_72 (BatchNo (None, 10, 14, 192)  576         conv2d_72[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_72 (Activation)      (None, 10, 14, 192)  0           batch_normalization_72[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_73 (Conv2D)              (None, 10, 14, 192)  258048      activation_72[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_73 (BatchNo (None, 10, 14, 192)  576         conv2d_73[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_73 (Activation)      (None, 10, 14, 192)  0           batch_normalization_73[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_70 (Conv2D)              (None, 10, 14, 192)  147456      mixed7[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_74 (Conv2D)              (None, 10, 14, 192)  258048      activation_73[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_70 (BatchNo (None, 10, 14, 192)  576         conv2d_70[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_74 (BatchNo (None, 10, 14, 192)  576         conv2d_74[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_70 (Activation)      (None, 10, 14, 192)  0           batch_normalization_70[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_74 (Activation)      (None, 10, 14, 192)  0           batch_normalization_74[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_71 (Conv2D)              (None, 4, 6, 320)    552960      activation_70[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_75 (Conv2D)              (None, 4, 6, 192)    331776      activation_74[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_71 (BatchNo (None, 4, 6, 320)    960         conv2d_71[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_75 (BatchNo (None, 4, 6, 192)    576         conv2d_75[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_71 (Activation)      (None, 4, 6, 320)    0           batch_normalization_71[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_75 (Activation)      (None, 4, 6, 192)    0           batch_normalization_75[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_3 (MaxPooling2D)  (None, 4, 6, 768)    0           mixed7[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "mixed8 (Concatenate)            (None, 4, 6, 1280)   0           activation_71[0][0]              \n",
            "                                                                 activation_75[0][0]              \n",
            "                                                                 max_pooling2d_3[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_80 (Conv2D)              (None, 4, 6, 448)    573440      mixed8[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_80 (BatchNo (None, 4, 6, 448)    1344        conv2d_80[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_80 (Activation)      (None, 4, 6, 448)    0           batch_normalization_80[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_77 (Conv2D)              (None, 4, 6, 384)    491520      mixed8[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_81 (Conv2D)              (None, 4, 6, 384)    1548288     activation_80[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_77 (BatchNo (None, 4, 6, 384)    1152        conv2d_77[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_81 (BatchNo (None, 4, 6, 384)    1152        conv2d_81[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_77 (Activation)      (None, 4, 6, 384)    0           batch_normalization_77[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_81 (Activation)      (None, 4, 6, 384)    0           batch_normalization_81[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_78 (Conv2D)              (None, 4, 6, 384)    442368      activation_77[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_79 (Conv2D)              (None, 4, 6, 384)    442368      activation_77[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_82 (Conv2D)              (None, 4, 6, 384)    442368      activation_81[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_83 (Conv2D)              (None, 4, 6, 384)    442368      activation_81[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_7 (AveragePoo (None, 4, 6, 1280)   0           mixed8[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_76 (Conv2D)              (None, 4, 6, 320)    409600      mixed8[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_78 (BatchNo (None, 4, 6, 384)    1152        conv2d_78[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_79 (BatchNo (None, 4, 6, 384)    1152        conv2d_79[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_82 (BatchNo (None, 4, 6, 384)    1152        conv2d_82[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_83 (BatchNo (None, 4, 6, 384)    1152        conv2d_83[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_84 (Conv2D)              (None, 4, 6, 192)    245760      average_pooling2d_7[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_76 (BatchNo (None, 4, 6, 320)    960         conv2d_76[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_78 (Activation)      (None, 4, 6, 384)    0           batch_normalization_78[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_79 (Activation)      (None, 4, 6, 384)    0           batch_normalization_79[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_82 (Activation)      (None, 4, 6, 384)    0           batch_normalization_82[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_83 (Activation)      (None, 4, 6, 384)    0           batch_normalization_83[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_84 (BatchNo (None, 4, 6, 192)    576         conv2d_84[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_76 (Activation)      (None, 4, 6, 320)    0           batch_normalization_76[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed9_0 (Concatenate)          (None, 4, 6, 768)    0           activation_78[0][0]              \n",
            "                                                                 activation_79[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "concatenate (Concatenate)       (None, 4, 6, 768)    0           activation_82[0][0]              \n",
            "                                                                 activation_83[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "activation_84 (Activation)      (None, 4, 6, 192)    0           batch_normalization_84[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed9 (Concatenate)            (None, 4, 6, 2048)   0           activation_76[0][0]              \n",
            "                                                                 mixed9_0[0][0]                   \n",
            "                                                                 concatenate[0][0]                \n",
            "                                                                 activation_84[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_89 (Conv2D)              (None, 4, 6, 448)    917504      mixed9[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_89 (BatchNo (None, 4, 6, 448)    1344        conv2d_89[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_89 (Activation)      (None, 4, 6, 448)    0           batch_normalization_89[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_86 (Conv2D)              (None, 4, 6, 384)    786432      mixed9[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_90 (Conv2D)              (None, 4, 6, 384)    1548288     activation_89[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_86 (BatchNo (None, 4, 6, 384)    1152        conv2d_86[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_90 (BatchNo (None, 4, 6, 384)    1152        conv2d_90[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_86 (Activation)      (None, 4, 6, 384)    0           batch_normalization_86[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_90 (Activation)      (None, 4, 6, 384)    0           batch_normalization_90[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_87 (Conv2D)              (None, 4, 6, 384)    442368      activation_86[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_88 (Conv2D)              (None, 4, 6, 384)    442368      activation_86[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_91 (Conv2D)              (None, 4, 6, 384)    442368      activation_90[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_92 (Conv2D)              (None, 4, 6, 384)    442368      activation_90[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "average_pooling2d_8 (AveragePoo (None, 4, 6, 2048)   0           mixed9[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_85 (Conv2D)              (None, 4, 6, 320)    655360      mixed9[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_87 (BatchNo (None, 4, 6, 384)    1152        conv2d_87[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_88 (BatchNo (None, 4, 6, 384)    1152        conv2d_88[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_91 (BatchNo (None, 4, 6, 384)    1152        conv2d_91[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_92 (BatchNo (None, 4, 6, 384)    1152        conv2d_92[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_93 (Conv2D)              (None, 4, 6, 192)    393216      average_pooling2d_8[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_85 (BatchNo (None, 4, 6, 320)    960         conv2d_85[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_87 (Activation)      (None, 4, 6, 384)    0           batch_normalization_87[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_88 (Activation)      (None, 4, 6, 384)    0           batch_normalization_88[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_91 (Activation)      (None, 4, 6, 384)    0           batch_normalization_91[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "activation_92 (Activation)      (None, 4, 6, 384)    0           batch_normalization_92[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_93 (BatchNo (None, 4, 6, 192)    576         conv2d_93[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_85 (Activation)      (None, 4, 6, 320)    0           batch_normalization_85[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed9_1 (Concatenate)          (None, 4, 6, 768)    0           activation_87[0][0]              \n",
            "                                                                 activation_88[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "concatenate_1 (Concatenate)     (None, 4, 6, 768)    0           activation_91[0][0]              \n",
            "                                                                 activation_92[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "activation_93 (Activation)      (None, 4, 6, 192)    0           batch_normalization_93[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "mixed10 (Concatenate)           (None, 4, 6, 2048)   0           activation_85[0][0]              \n",
            "                                                                 mixed9_1[0][0]                   \n",
            "                                                                 concatenate_1[0][0]              \n",
            "                                                                 activation_93[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "global_max_pooling2d (GlobalMax (None, 2048)         0           mixed10[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "dense (Dense)                   (None, 512)          1049088     global_max_pooling2d[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "dropout (Dropout)               (None, 512)          0           dense[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "dense_1 (Dense)                 (None, 7)            3591        dropout[0][0]                    \n",
            "==================================================================================================\n",
            "Total params: 22,855,463\n",
            "Trainable params: 22,821,031\n",
            "Non-trainable params: 34,432\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-o_SdmHC9qqt",
        "outputId": "1da29f9a-043e-474b-9de4-bc5c69043712",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "batch_size = 64\n",
        "epochs = 35\n",
        "history = model.fit_generator(train_datagen.flow(X_train,y_train, batch_size=batch_size),\n",
        "                              epochs = epochs, validation_data = val_datagen.flow(X_val, y_val),\n",
        "                              verbose = 1, steps_per_epoch=(X_train.shape[0] // batch_size),\n",
        "                              validation_steps=(X_val.shape[0] // batch_size),\n",
        "                              callbacks=[learning_rate_reduction])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From <ipython-input-20-b0e0df1b87c2>:7: Model.fit_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use Model.fit, which supports generators.\n",
            "Epoch 1/35\n",
            "112/112 [==============================] - 128s 1s/step - loss: 1.3318 - acc: 0.6334 - val_loss: 1.6107 - val_acc: 0.6849 - lr: 1.0000e-04\n",
            "Epoch 2/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.7660 - acc: 0.7284 - val_loss: 0.8137 - val_acc: 0.7500 - lr: 1.0000e-04\n",
            "Epoch 3/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.6593 - acc: 0.7634 - val_loss: 0.6565 - val_acc: 0.7760 - lr: 1.0000e-04\n",
            "Epoch 4/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.5711 - acc: 0.7969 - val_loss: 0.4841 - val_acc: 0.8438 - lr: 1.0000e-04\n",
            "Epoch 5/35\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.5058 - acc: 0.8235 - val_loss: 0.5152 - val_acc: 0.8099 - lr: 1.0000e-04\n",
            "Epoch 6/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.4526 - acc: 0.8401 - val_loss: 0.5330 - val_acc: 0.8203 - lr: 1.0000e-04\n",
            "Epoch 7/35\n",
            "112/112 [==============================] - ETA: 0s - loss: 0.4017 - acc: 0.8526\n",
            "Epoch 00007: ReduceLROnPlateau reducing learning rate to 4.999999873689376e-05.\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.4017 - acc: 0.8526 - val_loss: 0.5495 - val_acc: 0.8359 - lr: 1.0000e-04\n",
            "Epoch 8/35\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.3490 - acc: 0.8721 - val_loss: 0.4598 - val_acc: 0.8255 - lr: 5.0000e-05\n",
            "Epoch 9/35\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.3083 - acc: 0.8861 - val_loss: 0.4456 - val_acc: 0.8333 - lr: 5.0000e-05\n",
            "Epoch 10/35\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.2796 - acc: 0.8973 - val_loss: 0.5266 - val_acc: 0.8333 - lr: 5.0000e-05\n",
            "Epoch 11/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.2537 - acc: 0.9057 - val_loss: 0.4797 - val_acc: 0.8568 - lr: 5.0000e-05\n",
            "Epoch 12/35\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.2362 - acc: 0.9128 - val_loss: 0.5239 - val_acc: 0.8177 - lr: 5.0000e-05\n",
            "Epoch 13/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.2247 - acc: 0.9183 - val_loss: 0.4291 - val_acc: 0.8750 - lr: 5.0000e-05\n",
            "Epoch 14/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.2097 - acc: 0.9254 - val_loss: 0.5675 - val_acc: 0.8203 - lr: 5.0000e-05\n",
            "Epoch 15/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.2030 - acc: 0.9257 - val_loss: 0.5393 - val_acc: 0.8620 - lr: 5.0000e-05\n",
            "Epoch 16/35\n",
            "112/112 [==============================] - ETA: 0s - loss: 0.1795 - acc: 0.9327\n",
            "Epoch 00016: ReduceLROnPlateau reducing learning rate to 2.499999936844688e-05.\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.1795 - acc: 0.9327 - val_loss: 0.5430 - val_acc: 0.8307 - lr: 5.0000e-05\n",
            "Epoch 17/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.1474 - acc: 0.9444 - val_loss: 0.5745 - val_acc: 0.8281 - lr: 2.5000e-05\n",
            "Epoch 18/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.1341 - acc: 0.9502 - val_loss: 0.5075 - val_acc: 0.8646 - lr: 2.5000e-05\n",
            "Epoch 19/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.1231 - acc: 0.9558 - val_loss: 0.5769 - val_acc: 0.8438 - lr: 2.5000e-05\n",
            "Epoch 20/35\n",
            "112/112 [==============================] - ETA: 0s - loss: 0.1240 - acc: 0.9559\n",
            "Epoch 00020: ReduceLROnPlateau reducing learning rate to 1.249999968422344e-05.\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.1240 - acc: 0.9559 - val_loss: 0.5449 - val_acc: 0.8438 - lr: 2.5000e-05\n",
            "Epoch 21/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.1021 - acc: 0.9650 - val_loss: 0.4410 - val_acc: 0.8776 - lr: 1.2500e-05\n",
            "Epoch 22/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.0880 - acc: 0.9701 - val_loss: 0.5134 - val_acc: 0.8516 - lr: 1.2500e-05\n",
            "Epoch 23/35\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.0901 - acc: 0.9673 - val_loss: 0.6886 - val_acc: 0.8385 - lr: 1.2500e-05\n",
            "Epoch 24/35\n",
            "112/112 [==============================] - ETA: 0s - loss: 0.0884 - acc: 0.9687\n",
            "Epoch 00024: ReduceLROnPlateau reducing learning rate to 6.24999984211172e-06.\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.0884 - acc: 0.9687 - val_loss: 0.6193 - val_acc: 0.8464 - lr: 1.2500e-05\n",
            "Epoch 25/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.0805 - acc: 0.9724 - val_loss: 0.5721 - val_acc: 0.8568 - lr: 6.2500e-06\n",
            "Epoch 26/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.0729 - acc: 0.9740 - val_loss: 0.6724 - val_acc: 0.8411 - lr: 6.2500e-06\n",
            "Epoch 27/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.0734 - acc: 0.9719 - val_loss: 0.5797 - val_acc: 0.8594 - lr: 6.2500e-06\n",
            "Epoch 28/35\n",
            "112/112 [==============================] - ETA: 0s - loss: 0.0723 - acc: 0.9745\n",
            "Epoch 00028: ReduceLROnPlateau reducing learning rate to 3.12499992105586e-06.\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.0723 - acc: 0.9745 - val_loss: 0.6123 - val_acc: 0.8620 - lr: 6.2500e-06\n",
            "Epoch 29/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.0661 - acc: 0.9759 - val_loss: 0.5101 - val_acc: 0.8698 - lr: 3.1250e-06\n",
            "Epoch 30/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.0619 - acc: 0.9784 - val_loss: 0.5481 - val_acc: 0.8750 - lr: 3.1250e-06\n",
            "Epoch 31/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.0605 - acc: 0.9784 - val_loss: 0.6816 - val_acc: 0.8411 - lr: 3.1250e-06\n",
            "Epoch 32/35\n",
            "112/112 [==============================] - ETA: 0s - loss: 0.0601 - acc: 0.9780\n",
            "Epoch 00032: ReduceLROnPlateau reducing learning rate to 1.56249996052793e-06.\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.0601 - acc: 0.9780 - val_loss: 0.5575 - val_acc: 0.8724 - lr: 3.1250e-06\n",
            "Epoch 33/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.0612 - acc: 0.9794 - val_loss: 0.6579 - val_acc: 0.8568 - lr: 1.5625e-06\n",
            "Epoch 34/35\n",
            "112/112 [==============================] - 121s 1s/step - loss: 0.0675 - acc: 0.9754 - val_loss: 0.6992 - val_acc: 0.8411 - lr: 1.5625e-06\n",
            "Epoch 35/35\n",
            "112/112 [==============================] - 122s 1s/step - loss: 0.0599 - acc: 0.9804 - val_loss: 0.6550 - val_acc: 0.8542 - lr: 1.5625e-06\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2gplTKEov90d",
        "outputId": "f5203ead-0624-4978-d507-b722a34f8fad",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        }
      },
      "source": [
        "loss_val, acc_val = model.evaluate(X_val, y_val, verbose=1)\n",
        "print(\"Validation: accuracy = %f  ;  loss_v = %f\" % (acc_val, loss_val))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "26/26 [==============================] - 5s 176ms/step - loss: 0.5956 - acc: 0.8616\n",
            "Validation: accuracy = 0.861596  ;  loss_v = 0.595613\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wTd9gbZVwHHA"
      },
      "source": [
        "X_test = np.load(\"/content/drive/My Drive/Datasets/Skin_npy/x_test.npy\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k01CDQqYwQ7P"
      },
      "source": [
        "y_test = np.load(\"/content/drive/My Drive/Datasets/Skin_npy/y_test.npy\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ePURn6wAwVqu",
        "outputId": "4fb3e659-746e-4c12-9051-91601befd2ea",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        }
      },
      "source": [
        "loss_test, acc_test = model.evaluate(X_test, y_test, verbose=1)\n",
        "print(\"Test: accuracy = %f  ;  loss = %f\" % (acc_test, loss_test))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "63/63 [==============================] - 11s 176ms/step - loss: 0.6905 - acc: 0.8397\n",
            "Test: accuracy = 0.839740  ;  loss = 0.690529\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wzL4kXubwX3R"
      },
      "source": [
        "model.save(\"/content/drive/My Drive/InceptionV3.h5\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oeixqQaVNiij"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}