A Hands-On Introduction to Neural Networks – Hacker Noon

In the last decade, Artificial Intelligence (AI) has stepped firmly into the public spotlight, in large part owing to advances in Machine Learning (ML) and Artificial Neural Networks (ANNs). But with promising new technologies comes a whole lot of buzz, and there is now an overwhelming amount of noise in the field. That's why I thought it would be useful to get back to basics and actually implement a single neuron from scratch using Python. Before we dive in, I just wanted to quickly talk about what a neuron is in the first place. Early proponents of artificial intelligence noticed that the biological neuron was capable of conceptualizing and learning from large volumes of data, and postulated that modelling this neuron in a machine might allow for a similar capability.¹