This book is considered the Bible on Deep Learning..
   
"Deep Learning", an MIT Press book
by Bengio, Yoshua; Ian J. Goodfellow; and Aaron Courville.
  

• Series: Adaptive Computation and Machine Learning series
• Hardcover: 800 pages
• Publisher: The MIT Press (November 18, 2016)
• Language: English
  

Deep Learning - 目录

Table of Contents
Acknowledgements
Notation
1 Introduction
Part I: Applied Math and Machine Learning Basics
        2 Linear Algebra
        3 Probability and Information Theory
        4 Numerical Computation
        5 Machine Learning Basics
Part II: Modern Practical Deep Networks
        6 Deep Feedforward Networks
        7 Regularization for Deep Learning
        8 Optimization for Training Deep Models
        9 Convolutional Networks
        10 Sequence Modeling: Recurrent and Recursive Nets
        11 Practical Methodology
        12 Applications
Part III: Deep Learning Research
        13 Linear Factor Models
        14 Autoencoders
        15 Representation Learning
        16 Structured Probabilistic Models for Deep Learning
        17 Monte Carlo Methods
        18 Confronting the Partition Function
        19 Approximate Inference
        20 Deep Generative Models
Bibliography
Index