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@@ -7,7 +7,7 @@ To be published by MIT Press Dec 5th 2023.<br>
<h2> Download draft PDF </h2>
<a href="https://github.com/udlbook/udlbook/releases/download/v1.1.2/UnderstandingDeepLearning_06_08_23_C.pdf">Draft PDF Chapters 1-21</a><br> 2023-08-06. CC-BY-NC-ND license
<a href="https://github.com/udlbook/udlbook/releases/download/v1.1.3/UnderstandingDeepLearning_01_10_23_C.pdf">Draft PDF Chapters 1-21</a><br> 2023-10-01. CC-BY-NC-ND license
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<img src="https://img.shields.io/github/downloads/udlbook/udlbook/total" alt="download stats shield">
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@@ -116,15 +116,15 @@ Instructions for editing figures / equations can be found <a href="https://drive
<li> Notebook 10.3 - 2D convolution: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_3_2D_Convolution.ipynb">ipynb/colab </a>
<li> Notebook 10.4 - Downsampling & upsampling: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_4_Downsampling_and_Upsampling.ipynb">ipynb/colab </a>
<li> Notebook 10.5 - Convolution for MNIST: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_5_Convolution_For_MNIST.ipynb">ipynb/colab </a>
<li> Notebook 11.1 - Shattered gradients: (coming soon)
<li> Notebook 11.2 - Residual networks: (coming soon)
<li> Notebook 11.3 - Batch normalization: (coming soon)
<li> Notebook 12.1 - Self-attention: (coming soon)
<li> Notebook 12.2 - Multi-head self-attention: (coming soon)
<li> Notebook 12.3 - Tokenization: (coming soon)
<li> Notebook 11.1 - Shattered gradients: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_1_Shattered_Gradients.ipynb">ipynb/colab </a>
<li> Notebook 11.2 - Residual networks: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_2_Residual_Networks.ipynb">ipynb/colab </a>
<li> Notebook 11.3 - Batch normalization: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_3_Batch_Normalization.ipynb">ipynb/colab </a>
<li> Notebook 12.1 - Self-attention: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_1_Self_Attention.ipynb">ipynb/colab </a>
<li> Notebook 12.2 - Multi-head self-attention: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_2_Multihead_Self_Attention.ipynb">ipynb/colab </a>
<li> Notebook 12.3 - Tokenization: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_3_Tokenization.ipynb">ipynb/colab </a>
<li> Notebook 12.4 - Decoding strategies: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_4_Decoding_Strategies.ipynb">ipynb/colab </a>
<li> Notebook 13.1 - Encoding graphs: (coming soon)
<li> Notebook 13.2 - Graph classification : (coming soon)
<li> Notebook 13.1 - Encoding graphs: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_1_Graph_Representation.ipynb">ipynb/colab </a>
<li> Notebook 13.2 - Graph classification : <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_2_Graph_Classification.ipynb">ipynb/colab </a>
<li> Notebook 13.3 - Neighborhood sampling: (coming soon)
<li> Notebook 13.4 - Graph attention: (coming soon)
<li> Notebook 15.1 - GAN toy example: (coming soon)