This repo contains all the code from the book Deep Learning From Scratch, published by O'Reilly in September 2019.
It was mostly for me to keep the code I was writing for the book organized, but my hope is readers can clone this repo and step through the code systematically themselves to better understand the concepts.
Each chapter has two notebooks: a Code notebook and a Math notebook. Each Code notebook contains the Python code for corresponding chapter and can be run start to finish to generate the results from the chapters. The Math notebooks were just for me to store the LaTeX equations used in the book, taking advantage of Jupyter's LaTeX rendering functionality.