# d2l-en

**Repository Path**: ysx2code/d2l-en

## Basic Information

- **Project Name**: d2l-en
- **Description**: Dive into Deep Learning: an interactive deep learning book on Jupyter notebooks, using the NumPy interface.
- **Primary Language**: Unknown
- **License**: MIT-0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-02-17
- **Last Updated**: 2024-06-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Dive into Deep Learning (D2L Book)

[![Build Status](http://ci.d2l.ai/job/d2l-en/job/master/badge/icon)](http://ci.d2l.ai/job/d2l-en/job/master/)

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


<h5 align="center"><i>The best way to understand deep learning is learning by doing.</i></h5>

<p align="center">
  <img width="200"  src="static/frontpage/_images/eq.jpg">
  <img width="200"  src="static/frontpage/_images/figure.jpg">
  <img width="200"  src="static/frontpage/_images/code.jpg">
  <img width="200"  src="static/frontpage/_images/notebook.gif">
</p>


This open-source book represents our attempt to make deep learning approachable, teaching you both the concepts, the context, and the code. 

Our goal is to offer a resource that could 
1. be freely available for everyone; 
1. offer sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist; 
1. include runnable code, showing readers how to solve problems in practice; 
1. allow for rapid updates, both by us and also by the community at large; 
1. be complemented by a forum for interactive discussion of technical details and to answer questions.

<h5 align="center">Universities that use D2L as a textbook or a reference book</h5>
<p align="center">
  <img width="400"  src="static/frontpage/_images/map.png">
</p>

If you find this book useful, please star (★) this repository or cite this book using the following bibtex entry:

```
@book{zhang2020dive,
    title={Dive into Deep Learning},
    author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola},
    note={\url{https://d2l.ai}},
    year={2020}
}
```

## Contribute ([learn how](https://d2l.ai/chapter_appendix-tools-for-deep-learning/contributing.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://d2l.ai/chapter_preface/index.html#Acknowledgments) each D2L contributor in the book and send a free book (hard copy) to the *first 100 contributors* when it is published.

**Dear [D2L contributors](https://github.com/d2l-ai/d2l-en/graphs/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/)

## License Summary

This open source book is made available under the Creative Commons Attribution-ShareAlike 4.0 International License. See the LICENSE file.

The sample and reference code within this open source book is made available under a modified MIT license. See the LICENSE-SAMPLECODE file.

[Other Information](INFO.md)