add resource links to notebooks

mrdbourke · Aug 31, 2022 · e76da91 · e76da91
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diff --git a/05_pytorch_going_modular.md b/05_pytorch_going_modular.md
@@ -1,3 +1,5 @@
+[View Source Code](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/05_pytorch_going_modular.md) | [View Slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/05_pytorch_going_modular.pdf) 
+
 # 05. PyTorch Going Modular
 
 This section answers the question, "how do I turn my notebook code into Python scripts?"

diff --git a/06_pytorch_transfer_learning.ipynb b/06_pytorch_transfer_learning.ipynb
diff --git a/07_pytorch_experiment_tracking.ipynb b/07_pytorch_experiment_tracking.ipynb
diff --git a/08_pytorch_paper_replicating.ipynb b/08_pytorch_paper_replicating.ipynb
@@ -5,7 +5,9 @@
    "id": "e7e81227-aa0c-4e15-9ac4-20cc7128c915",
    "metadata": {},
    "source": [
-    "<a href=\"https://colab.research.google.com/github/mrdbourke/pytorch-deep-learning/blob/main/08_pytorch_paper_replicating.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+    "<a href=\"https://colab.research.google.com/github/mrdbourke/pytorch-deep-learning/blob/main/08_pytorch_paper_replicating.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
+    "\n",
+    "[View Source Code](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/08_pytorch_paper_replicating.ipynb) | [View Slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/08_pytorch_paper_replicating.pdf) "
    ]
   },
   {
@@ -238,7 +240,7 @@
     "    print(f\"torchvision version: {torchvision.__version__}\")\n",
     "except:\n",
     "    print(f\"[INFO] torch/torchvision versions not as required, installing nightly versions.\")\n",
-    "    !pip3 install -U --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu113\n",
+    "    !pip3 install -U torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113\n",
     "    import torch\n",
     "    import torchvision\n",
     "    print(f\"torch version: {torch.__version__}\")\n",
@@ -4398,7 +4400,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.8.13"
   },
   "vscode": {
    "interpreter": {

diff --git a/09_pytorch_model_deployment.ipynb b/09_pytorch_model_deployment.ipynb
@@ -4,7 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<a href=\"https://colab.research.google.com/github/mrdbourke/pytorch-deep-learning/blob/main/09_pytorch_model_deployment.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+    "<a href=\"https://colab.research.google.com/github/mrdbourke/pytorch-deep-learning/blob/main/09_pytorch_model_deployment.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
+    "\n",
+    "[View Source Code](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/09_pytorch_model_deployment.ipynb) | [View Slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/09_pytorch_model_deployment.pdf) "
    ]
   },
   {

diff --git a/docs/index.md b/docs/index.md
@@ -20,21 +20,20 @@ Otherwise, you can find more about the course below.
 
 Course [launched on ZTM Academy](https://dbourke.link/ZTMPyTorch)!
 
-Sections 00-08 are done, 09 is being actively developed.
-
-* Last update: August 8 2022.
-* Videos are done for chapters: 00, 01, 02, 03, 04, 05, 06, 07, 08.
-* Currently working on: [chapter 09: model deployment](https://www.learnpytorch.io/09_pytorch_model_deployment/).
+* Last update: August 31 2022
+* Videos are done for chapters: 00, 01, 02, 03, 04, 05, 06, 07, 08, 09 (all chapters!)
+* Currently working on: editing and uploading videos for 08 and 09
 * See progress on the course [GitHub Project](https://github.com/users/mrdbourke/projects/1/views/4).
 
 **Get updates:** Follow the [`pytorch-deep-learning`](https://github.com/mrdbourke/pytorch-deep-learning#log) repo log or [sign up for emails](https://www.mrdbourke.com/newsletter/).
 
 ## Course materials/outline
 
-* 📖 **Online book version:** All of course materials are available in a readable online book at [learnpytorch.io](https://learnpytorch.io).
+* 💻 **Code on GitHub:** All of course materials are available open-source [on GitHub](https://github.com/mrdbourke/pytorch-deep-learning).
 * 🎥 **First five sections on YouTube:** Learn Pytorch in a day by watching the [first 25-hours of material](https://youtu.be/Z_ikDlimN6A).
 * 🔬 **Course focus:** code, code, code, experiment, experiment, experiment.
 * 🏃‍♂️ **Teaching style:** [https://sive.rs/kimo](https://sive.rs/kimo).
+* 🤔 **Ask a question:** See the course [GitHub Discussions page](https://github.com/mrdbourke/pytorch-deep-learning/discussions) for existing questions/ask your own.
 
 | **Section** | **What does it cover?** | **Exercises & Extra-curriculum** | **Slides** |
 | ----- | ----- | ----- | ----- |
@@ -47,7 +46,8 @@ Sections 00-08 are done, 09 is being actively developed.
 | [06 - PyTorch Transfer Learning](https://www.learnpytorch.io/06_pytorch_transfer_learning/) | Let's take a well performing pre-trained model and adjust it to one of our own problems. | [Go to exercises & extra-curriculum](https://www.learnpytorch.io/06_pytorch_transfer_learning/#exercises) | [Go to slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/06_pytorch_transfer_learning.pdf) |
 | [07 - Milestone Project 1: PyTorch Experiment Tracking](https://www.learnpytorch.io/07_pytorch_experiment_tracking/) | We've built a bunch of models... wouldn't it be good to track how they're all going? | [Go to exercises & extra-curriculum](https://www.learnpytorch.io/07_pytorch_experiment_tracking/#exercises) | [Go to slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/07_pytorch_experiment_tracking.pdf) |
 | [08 - Milestone Project 2: PyTorch Paper Replicating](https://www.learnpytorch.io/08_pytorch_paper_replicating/) | PyTorch is the most popular deep learning framework for machine learning research, let's see why by replicating a machine learning paper. | [Go to exercises & extra-curriculum](https://www.learnpytorch.io/08_pytorch_paper_replicating/#exercises) | [Go to slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/08_pytorch_paper_replicating.pdf) |
-| Work in progress: [09 - Milestone Project 3: Model Deployment](https://www.learnpytorch.io/09_pytorch_model_deployment/) | So you've built a working PyTorch model... how do you get it in the hands of others? Hint: deploy it to the internet. | Go to exercises & extra-curriculum | Go to slides |
+| [09 - Milestone Project 3: Model Deployment](https://www.learnpytorch.io/09_pytorch_model_deployment/) | So we've built a working PyTorch model... how do we get it in the hands of others? Hint: deploy it to the internet. | [Go to exercises & extra-curriculum](https://www.learnpytorch.io/09_pytorch_model_deployment/#exercises) | [Go to slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/09_pytorch_model_deployment.pdf) |
+| [PyTorch Extra Resources](https://www.learnpytorch.io/pytorch_extra_resources/) | This course covers a large amount PyTorch and deep learning but the field of machine learning is vast, inside here you'll find recommended books and resources for: PyTorch and deep learning, ML engineering, NLP (natural language processing), time series data, where to find datasets and more. | - | - |
 
 ## About this course