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Dive into Deep Learning (D2L Book)

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Book website | STAT 157 Course at UC Berkeley, Spring 2019

Contribute (learn how)

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 each contributor in the book and send a free book (hard copy) to each contributor when it is published.

Dear contributors, please email your GitHub ID, name, and mailing address to [email protected]. Thanks.

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