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 :)

https://forms.gle/bZZ98vUSQir1e9Ee9 It doesn't require email or name or literally anything!

Prerequisites:

• basic knowledge of Python

• middle school algebra

• Google Colab account (free)