In this article, I will walk through the development of an artificial neural network from scratch using NumPy. The architecture of this model is the most basic of all ANNs — a simple feed-forward network. I will also show the Keras equivalent of this model, as I tried to make my implementation ‘Keras-esque’. Although the feed-forward architecture is basic compared to other neural networks such as transformers, these core concepts can be extrapolated to build more complex ANNs. These topics are inherently technical. For a more conceptual article on AI please check out my other
How I build a network of 25 simple tools that make me money
It was a few years ago when I stumbled upon calculator dot net and thought this is so simple & the traffic is insane.…