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<p align="center"> <img width="60%" src="/img/d2l-pytorch.png" /> </p>

UPDATE: Please see the orignal repo for the complete PyTorch port. We no longer maintain this repo.

This project is adapted from the original Dive Into Deep Learning book by Aston Zhang, Zachary C. Lipton, Mu Li, Alex J. Smola and all the community contributors. GitHub of the original book: https://github.com/d2l-ai/d2l-en. We have made an effort to modify the book and convert the MXnet code snippets into PyTorch.

Note: Some ipynb notebooks may not be rendered perfectly in Github. We suggest cloning the repo or using nbviewer to view the notebooks.

Chapters

Contributing

Support

If you like this repo and find it useful, please consider (★) starring it, so that it can reach a broader audience.

References

[1] Original Book Dive Into Deep Learning -> Github Repo

[2] Deep Learning - The Straight Dope

[3] PyTorch - MXNet Cheatsheet

Cite

If you use this work or code for your research please cite the original book with 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}
}