Understanding Deep Learning by Simon J.D. Prince
rmrf · 2023-11-27 11:30:14 +08:00 · 1004 次点击这是一个创建于 387 天前的主题，其中的信息可能已经有所发展或是发生改变。
看了一下这书，质量不错，推荐大家有时间看看： https://udlbook.github.io/udlbook/
Table of contents
Chapter 1 - Introduction
Chapter 2 - Supervised learning
Chapter 3 - Shallow neural networks
Chapter 4 - Deep neural networks
Chapter 5 - Loss functions
Chapter 6 - Training models
Chapter 7 - Gradients and initialization
Chapter 8 - Measuring performance
Chapter 9 - Regularization
Chapter 10 - Convolutional networks
Chapter 11 - Residual networks
Chapter 12 - Transformers
Chapter 13 - Graph neural networks
Chapter 14 - Unsupervised learning
Chapter 15 - Generative adversarial networks
Chapter 16 - Normalizing flows
Chapter 17 - Variational autoencoders
Chapter 18 - Diffusion models
Chapter 19 - Deep reinforcement learning
Chapter 20 - Why does deep learning work?
Chapter 21 - Deep learning and ethics
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wang9571 2023-11-27 11:38:15 +08:00
啧, 刚在 hacker news 看到
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rmrf OP 这个 pdf 的排版实在太紧密了，看的眼睛疼，唉。
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