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Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

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Add notebook(s) on transformers. Potentially to use as references: * [BERT Explained: A Complete Guide with Theory and Tutorial](https://towardsml.com/2019/09/17/bert-explained-a-complete-guide-with-theory-and-tutorial/) * [Transformers from scratch](http://www.peterbloem.nl/blog/transformers) * [The annotated transformer](https://nlp.seas.harvard.edu/2018/04/03/attention.html) And more!

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