Ch.1 Introduction - Dive into Deep Learning @ D2L

Ch.2 Preliminaries - Dive into Deep Learning @ D2L

Ch.3 Linear Neural Networks for Regression - Dive into Deep Learning @ D2L

Ch.4 Linear Neural Networks for Classification - Dive into Deep Learning @ D2L

Ch.5 Multilayer Perceptrons - Dive into Deep Learning @ D2L

Ch.6 Builders' Guide - Dive into Deep Learning @ D2L

Ch.7 Convolutional Neural Networks - Dive into Deep Learning @ D2L

Ch.8 Modern Convolutional Neural Networks - Dive into Deep Learning @ D2L

Ch.9 Recurrent Neural Networks - Dive into Deep Learning @ D2L

Ch.10 Modern Recurrent Neural Networks - Dive into Deep Learning @ D2L

Ch.11 Attention Mechanisms and Transformers - Dive into Deep Learning @ D2L

Ch.12 Optimization Algorithms - Dive into Deep Learning @ D2L

Ch.13 Computational Performance - Dive into Deep Learning @ D2L

Ch.14 Computer Vision - Dive into Deep Learning @ D2L

Ch.15 Natural Language Processing: Pretraining - Dive into Deep Learning @ D2L

Ch.16 Natural Language Processing: Applications - Dive into Deep Learning @ D2L

Ch.17 Reinforcement Learning - Dive into Deep Learning @ D2L

Ch.18 Gaussian Processes - Dive into Deep Learning @ D2L

Ch.19 Hyperparameter Optimization - Dive into Deep Learning @ D2L

Ch.20 Generative Adversarial Networks - Dive into Deep Learning @ D2L

Ch.21 Recommender Systems - Dive into Deep Learning @ D2L

Ch.22 Appendix: Mathematics for Deep Learning - Dive into Deep Learning @ D2L

Ch.23 Appendix: Tools for Deep Learning - Dive into Deep Learning @ D2L