Dive_Into_Deep_Learning

Record the learning process and insights of the textbook Dive_Into_Deep_Learning https://d2l.ai/

Name		Name	Last commit message	Last commit date
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01. Introduction		01. Introduction
02. Preliminaries		02. Preliminaries
03. Linear Nerual Networks for Regression		03. Linear Nerual Networks for Regression
04. Linear Nerual Network for Classification		04. Linear Nerual Network for Classification
05. Multilayer Perceptrons		05. Multilayer Perceptrons
06. Builders' Guide		06. Builders' Guide
07. Convolutional Nerual Networks		07. Convolutional Nerual Networks
08. Modern Convolutional Nerual Networks		08. Modern Convolutional Nerual Networks
09. Recurrent Nurual Networks		09. Recurrent Nurual Networks
10. Recurrent Nerual Networks		10. Recurrent Nerual Networks
11. Attention Mechanisms and Transformers		11. Attention Mechanisms and Transformers
12. Optimization Algorithms		12. Optimization Algorithms
13. Computational Performance		13. Computational Performance
14. Computer Vision		14. Computer Vision
15. Natural Language Processing: Pretraining		15. Natural Language Processing: Pretraining
16. Natural Language Processing: Applications		16. Natural Language Processing: Applications
17. Reinforcement Learning		17. Reinforcement Learning
18. Gaussian Processes		18. Gaussian Processes
19. Hyperparameter Optimization		19. Hyperparameter Optimization
20. Generative Adversarial Networks		20. Generative Adversarial Networks
README.md		README.md

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