How a neural network trains, step by step
A walk-through of a tiny network that learns to classify emails as spam or not spam from "click here" count and exclamation marks.
Taskclassify an email as spam (output → 1) or not spam (output → 0)·inputs: x₁ "click here" count, x₂ exclamation marks, x₃ day sent (1-7, irrelevant)
Interactive
Step 1 of 8: Welcome
A step-by-step demonstration of how a tiny neural network trains. By the end you will see how an input becomes a prediction, how the model measures its error, and how it adjusts its weights to learn.
Legend
orange circle = input
blue circle = hidden neuron
green circle = output neuron
0.30number on a line = weight
Press Next to begin.