# Neural Networks from Nothing

A 10-chapter digital book teaching you the basics of machine learning from scratch! No linear algebra or calculus needed.

Learn how to implement a very simple neural network (just one neuron)!

Along the way, you will gain a fundamental understanding of the math and logic behind how neural networks work. For instance, weight updates, biases, and gradients.

**Please**submit this one second Google Form to get instant access to the Colab notebook. Rather than using Google Analytics, this is how I track readership in a non-invasive way :)

Prerequisites:

- basic knowledge of Python
- middle school algebra
- Google Colab account (free)

Last modified 2mo ago