Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
Clone or download
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
build pandas==0.23.4 Jan 22, 2019
chapter_appendix 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
chapter_computational-performance 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
chapter_computer-vision 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
chapter_convolutional-neural-networks 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
chapter_crashcourse Improve sentence structure (#126) Jan 18, 2019
chapter_deep-learning-basics Restructure a sentence (#129) Jan 21, 2019
chapter_deep-learning-computation 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
chapter_introduction 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
chapter_natural-language-processing 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
chapter_optimization 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
chapter_preface Update preface.md Jan 22, 2019
chapter_prerequisite Update autograd.md (#106) Jan 9, 2019
chapter_recurrent-neural-networks 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
contrib Aws updated (#100) Jan 10, 2019
d2l 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
data rm aclimdb tiny Jan 1, 2019
graffle rnn first cut Dec 17, 2018
img 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
.gitignore 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019
.gitmodules try to publish notebooks Dec 27, 2018
Jenkinsfile mv more .sh into utils Dec 30, 2018
Makefile enable horizontal scroll bar for wide code blocks Jan 22, 2019
README.md Fix link to Chinese book (#130) Jan 21, 2019
STYLE_GUIDE.md minor fix (#27) Oct 25, 2018
environment.yml pandas==0.23.4 Jan 22, 2019
setup.py 1.2.0 -> 1.4.0, fix accuracy compute, data -> iter Jan 19, 2019

README.md

Dive into Deep Learning (D2L Book)

Build Status

Book website | STAT 157 Course at UC Berkeley, Spring 2019

Contribute (learn how)

This open source book has benefited from pedagogical suggestions, typo corrections, and other improvements from community contributors. Your help is valuable for making the book better for everyone. We will acknowledge each contributor in the book and send a free book (hard copy) to each contributor when it is published.

Dear contributors, please email your GitHub ID, name, and mailing address to d2lbook.en@gmail.com. Thanks.

Chinese version | Discuss and report issues