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The Smallest Brain You Can Build: A Perceptron in Python

This tutorial explains perceptrons—the fundamental building blocks of neural networks—and guides readers through implementing one from scratch in Python. It uses interactive demos to illustrate core concepts like weights, bias, epochs, learning rate, and normalization, showing how perceptrons learn to make binary decisions such as classifying positive numbers or student exam pass/fail outcomes.