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astonzhang committed Aug 18, 2023
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# D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions

[![Continuous Integration](https://github.com/d2l-ai/d2l-en/actions/workflows/ci.yml/badge.svg)](https://github.com/d2l-ai/d2l-en/actions/workflows/ci.yml)
[![Build Docker Image](https://github.com/d2l-ai/d2l-en/actions/workflows/build-docker.yml/badge.svg)](https://github.com/d2l-ai/d2l-en/actions/workflows/build-docker.yml)

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

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

```
@article{zhang2021dive,
@book{zhang2023dive,
title={Dive into Deep Learning},
author={Zhang, Aston and Lipton, Zachary C. and Li, Mu and Smola, Alexander J.},
journal={arXiv preprint arXiv:2106.11342},
year={2021}
publisher={Cambridge University Press},
note={\url{https://D2L.ai}},
year={2023}
}
```

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