# d2l-en

**Repository Path**: willenduan/d2l-en

## Basic Information

- **Project Name**: d2l-en
- **Description**: Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-01-30
- **Last Updated**: 2022-01-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Dive into Deep Learning (D2L Book)

[![Build Status](http://ci.diveintodeeplearning.org/job/en/job/master/badge/icon)](http://ci.diveintodeeplearning.org/job/en/job/master/)

[Book website](http://en.diveintodeeplearning.org/) | [STAT 157 Course at UC Berkeley, Spring 2019](http://courses.d2l.ai/berkeley-stat-157/index.html)


## Contribute ([learn how](http://en.diveintodeeplearning.org/chapter_appendix/how-to-contribute.html))

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](https://www.d2l.ai/chapter_preface/preface.html#Acknowledgments) 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](https://github.com/d2l-ai/d2l-zh) | [Discuss and report issues](https://discuss.mxnet.io/)