【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