Reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
pytorch book d2l-ai tutorial
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Takeaways & Next Steps

Please feel free to open a Pull Request to contribute a notebook in PyTorch for the rest of the chapters. Before starting out with the notebook, open an issue with the name of the notebook in order to contribute for the same. We will assign that issue to you (if no one has been assigned earlier).

Don't forget to tag @AnirudhDagar , @dsgiitr in your comment.

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Machine Learning Research | Open Source
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