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Clipping functions",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap04/4_2_Clipping_functions.ipynb"},{text:"Notebook 4.3 - Deep networks",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap04/4_3_Deep_Networks.ipynb"},{text:"Notebook 5.1 - Least squares loss",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap05/5_1_Least_Squares_Loss.ipynb"},{text:"Notebook 5.2 - Binary cross-entropy loss",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap05/5_2_Binary_Cross_Entropy_Loss.ipynb"},{text:"Notebook 5.3 - Multiclass cross-entropy loss",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap05/5_3_Multiclass_Cross_entropy_Loss.ipynb"},{text:"Notebook 6.1 - Line search",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_1_Line_Search.ipynb"},{text:"Notebook 6.2 - Gradient descent",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_2_Gradient_Descent.ipynb"},{text:"Notebook 6.3 - Stochastic gradient descent",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb"},{text:"Notebook 6.4 - Momentum",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_4_Momentum.ipynb"},{text:"Notebook 6.5 - Adam",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_5_Adam.ipynb"},{text:"Notebook 7.1 - Backpropagation in toy model",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap07/7_1_Backpropagation_in_Toy_Model.ipynb"},{text:"Notebook 7.2 - Backpropagation",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap07/7_2_Backpropagation.ipynb"},{text:"Notebook 7.3 - Initialization",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap07/7_3_Initialization.ipynb"},{text:"Notebook 8.1 - MNIST-1D performance",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_1_MNIST_1D_Performance.ipynb"},{text:"Notebook 8.2 - Bias-variance trade-off",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_2_Bias_Variance_Trade_Off.ipynb"},{text:"Notebook 8.3 - Double descent",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_3_Double_Descent.ipynb"},{text:"Notebook 8.4 - High-dimensional spaces",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_4_High_Dimensional_Spaces.ipynb"},{text:"Notebook 9.1 - L2 regularization",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_1_L2_Regularization.ipynb"},{text:"Notebook 9.2 - Implicit regularization",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_2_Implicit_Regularization.ipynb"},{text:"Notebook 9.3 - Ensembling",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_3_Ensembling.ipynb"},{text:"Notebook 9.4 - Bayesian approach",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_4_Bayesian_Approach.ipynb"},{text:"Notebook 9.5 - Augmentation",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_5_Augmentation.ipynb"},{text:"Notebook 10.1 - 1D convolution",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_1_1D_Convolution.ipynb"},{text:"Notebook 10.2 - Convolution for MNIST-1D",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb"},{text:"Notebook 10.3 - 2D convolution",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_3_2D_Convolution.ipynb"},{text:"Notebook 10.4 - Downsampling & upsampling",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_4_Downsampling_and_Upsampling.ipynb"},{text:"Notebook 10.5 - Convolution for MNIST",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_5_Convolution_For_MNIST.ipynb"},{text:"Notebook 11.1 - Shattered gradients",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_1_Shattered_Gradients.ipynb"},{text:"Notebook 11.2 - Residual networks",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_2_Residual_Networks.ipynb"},{text:"Notebook 11.3 - Batch normalization",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_3_Batch_Normalization.ipynb"},{text:"Notebook 12.1 - Self-attention",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_1_Self_Attention.ipynb"},{text:"Notebook 12.2 - Multi-head self-attention",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_2_Multihead_Self_Attention.ipynb"},{text:"Notebook 12.3 - Tokenization",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_3_Tokenization.ipynb"},{text:"Notebook 12.4 - Decoding strategies",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_4_Decoding_Strategies.ipynb"},{text:"Notebook 13.1 - Encoding graphs",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_1_Graph_Representation.ipynb"},{text:"Notebook 13.2 - Graph classification",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_2_Graph_Classification.ipynb"},{text:"Notebook 13.3 - Neighborhood sampling",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_3_Neighborhood_Sampling.ipynb"},{text:"Notebook 13.4 - Graph attention",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_4_Graph_Attention_Networks.ipynb"},{text:"Notebook 15.1 - GAN toy example",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap15/15_1_GAN_Toy_Example.ipynb"},{text:"Notebook 15.2 - Wasserstein distance",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap15/15_2_Wasserstein_Distance.ipynb"},{text:"Notebook 16.1 - 1D normalizing flows",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap16/16_1_1D_Normalizing_Flows.ipynb"},{text:"Notebook 16.2 - Autoregressive flows",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap16/16_2_Autoregressive_Flows.ipynb"},{text:"Notebook 16.3 - Contraction mappings",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap16/16_3_Contraction_Mappings.ipynb"},{text:"Notebook 17.1 - Latent variable models",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb"},{text:"Notebook 17.2 - Reparameterization trick",link:"https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap17/17_2_Reparameterization_Trick.ipynb"},{text:"Notebook 17.3 - 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