> For the complete documentation index, see [llms.txt](https://andrew-kean-gao.gitbook.io/neural-networks-from-nothing/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://andrew-kean-gao.gitbook.io/neural-networks-from-nothing/neural-networks-from-nothing.md).

# Neural Networks from Nothing

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)