The Smallest Brain You Can Build: A Perceptron in Python

A perceptron is the foundational building block of modern neural networks—a simple mathematical model inspired by biological neurons that takes a single input and produces a yes-or-no output based on weighted factors and a threshold (bias). The article explains how a perceptron learns by adjusting its weight and bias parameters when it makes mistakes, using a practical example of predicting whether a number is positive or negative, and demonstrates that even this minimal "brain" can successfully learn decision boundaries through repeated training iterations.