Bengio大神的《Deep Learning》全书已完稿可获取全书电子版

【推荐】Bengio大神的《Deep Learning》全书已完稿可获取全书电子版

2016-04-07  机器学习研究会

点击上方 “机器学习研究会”可以订阅哦！ 摘要
  视觉机器人

经过两年半的努力，由谷歌大脑团队科学家 Ian Goodfellow, Yoshua Bengio and Aaron Courville撰写MIT出版的《Deep Learning》，今天完成最终稿了。提供整本书的下载链接（百度网盘和微盘），点击“阅读原文”可以进入百度网盘下载全书，其目录如下：

• 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

• 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

官网链接：

http://www.deeplearningbook.org/

百度网盘：

http://pan.baidu.com/s/1qYIeAJU

微盘链接：

http://vdisk.weibo.com/s/zdiZ9MUNYUCZV

原文链接：

http://weibo.com/5501429448/DpPSfyrxw?type=comment#_rnd1460020360697