Material for The Mathematical Engineering of Deep Learning. See the actual book content on deeplearningmath.org or (when it is out) purchase the book from CRC press.

This repository contains general supporting material for the book.

Below is a detailed list of the source code used for creating figures and tables in the book. We use Julia, Python, or R and the code is sometimes in stand alone files, sometimes in Jupyter notebooks, sometimes as R Markdown, and sometimes in Google Colab. Many of our static illustrations were created using TikZ by Ajay Hemanth and Vishnu Prasath with the source of their illustrations also available so you can adapt it for purposes.