This open source repository is part of a series of blog posts titled "Nothing but NumPy", that aims to explain all the nuts and bolts that go into making an artificial neural network and create them using only NumPy.

1. Understanding and Creating Neural Networks

Part of the blog post "Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch"

Introudces the concept of an "artifical neural network", laying down the foundation for future installments.

2. Understanding and Creating Binary Classification Neural Networks

Part of the blog post "Nothing but NumPy: Understanding & Creating Binary Classification Neural Networks with Computational Graphs from Scratch"

This second installment of "Nothing but NumPy" builds upon the previous post. It delves into creating a neural network to solve a specific kind of problem called "binary classification".

Feel free to reach out to me on for any queries.