The Perceptron: All of AI Is One Neuron

Try it yourself. The full written explainer and an interactive perceptron you can click are here: https://unrote.com/ai/the-perceptron/ The perceptron is a single artificial neuron, and it is the atom that every neural network is built from. In this from-scratch explainer we build one step by step: the inputs, the weights, the weighted sum, the bias, and the activation that makes it fire. Then we watch what one neuron can do, draw a straight line to separate data, meet the famous pattern it cannot solve (XOR), and see how stacking neurons into layers turns them into deep learning. What you will understand by the end: - What a neuron actually takes in, and why each input is a number - Weights: how much each piece of evidence counts - The weighted sum and the bias, in plain terms - Activation: the step function that outputs a one or a zero - A worked decision, start to finish - How a perceptron learns its weights - One straight line, and the hard limit of a single neuron - Why stacking neurons into layers gives you a neural network Understand it, don't memorize it.