【深度学习书籍】Deep Learning pdf _下载
书名:Deep Learning
作者: Yoshua Bengio
如果想对深度学习有深入的理解,Bengio这本书绝对让你相见恨晚。其它的资料大多要么理解的肤浅,要么讲的不怎么全面。绝对推荐看一下,讲得十分系统全面,并且深入浅出。Hinton的公开课感觉只能作为一个入门。这本书读完让你有一种读了很大数量的论文的收获感。
目录
Table ofContents
Acknowledgements
Notation
1Introduction
Part I:Applied Math and Machine Learning Basics
2 LinearAlgebra
3Probability and Information Theory
4 NumericalComputation
5 MachineLearning Basics
Part II:Modern Practical Deep Networks
6 DeepFeedforward Networks
7Regularization
8Optimization for Training Deep Models
9Convolutional Networks
10Sequence Modeling: Recurrent and Recursive Nets
11Practical Methodology
12Applications
Part III:Deep Learning Research
13 LinearFactor Models
14Autoencoders
15Representation Learning
16Structured Probabilistic Models for Deep Learning
17 MonteCarlo Methods
18Confronting the Partition Function
19Approximate Inference
20 DeepGenerative Models
DeepLearningBook.zip
(18.53 MB)
本附件包括:- DeepLearningBook.pdf


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