Deep learning: An MIT Press book [推广有奖]

0关注
0粉丝

大专生

95%

还不是VIP/贵宾

威望: 0 级
论坛币: 264 个
通用积分: 4.3605
学术水平: 0 点
热心指数: 0 点
信用等级: 0 点
经验: 1026 点
帖子: 59
精华: 0
在线时间: 53 小时
注册时间: 2007-6-29
最后登录: 2023-10-22

minnie53053 发表于 2022-8-29 04:41:10 |显示全部楼层 |坛友微信交流群

相似文件

换一批

是否 +2 论坛币

k人参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Authors: Ian Goodfellow and Yoshua Bengio and Aaron Courville
publisher: MIT Press (2016)

Table of content:
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 Deep Networks: Modern Practices
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

Deep learning.rar (24.46 MB, 需要: 5 个论坛币) 本附件包括：
Chapter 20.pdf
Bibliography.pdf
Chapter 2.pdf
Chapter 3.pdf
Chapter 4.pdf
Chapter 5.pdf
Chapter 6.pdf
Chapter 7.pdf
Chapter 8.pdf
Chapter 9.pdf
Chapter 10.pdf
Chapter 11.pdf
Chapter 12.pdf
Chapter 13.pdf
Chapter 14.pdf
Chapter 15.pdf
Chapter 16.pdf
Chapter 17.pdf
Chapter 18.pdf
Chapter 19.pdf
Index.pdf
Intro.pdf
Notation.pdf
Part I.pdf
Part II.pdf
Part III.pdf
TOC.pdf