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Code for the book Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

This repository is a companion to the book Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory by Arnulf Jentzen, Benno Kuckuck, and Philippe von Wurstemberger. It contains all of the Python code from the book.

The book is currently available as a preprint on the arXiv.

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book's Issues

Please add a license to this repo

First, thank you for posting your book on arXiv and sharing the code from
the book with us in this repo!

Could you please add an explicit LICENSE file to the repo so that it's clear
under what terms the content is provided, and under what terms user
contributions are licensed?

Per GitHub docs on licensing:

[...] without a license, the default copyright laws apply, meaning that you
retain all rights to your source code and no one may reproduce, distribute,
or create derivative works from your work. If you're creating an open source
project, we strongly encourage you to include an open source license.

Thanks!

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