I made a game that teaches you how AI works

Tyler Suard released SYNAPSE, a browser game that teaches the math behind neural networks through 12 levels of tuning weights and biases. The game starts with single neurons and progresses to deep multi-layer networks, requiring players to solve real training problems with decimal targets and ReLU clamping. It is a single self-contained HTML file with no dependencies and works offline.

SYNAPSE is a browser game that teaches the math behind neural networks. You're given a network inputs, weights, biases, hidden layers, and outputs and you tune the numbers until the network produces the right answers. It starts with a single neuron output = input × weight + bias and builds up to deep, multi-layer nets. Later levels are real training problems: the same weights must satisfy several input→output examples at once, with decimal targets, negative weights, and genuine ReLU clamping, so guessing won't cut it, and you learn to solve them. Includes 12 levels, a level picker, live feedback, hints, and a per-level explainer. Single self-contained HTML file, no dependencies, works offline. Tylersuard/Synapse neural net training game Folders and files | Name | Name | Last commit date | || |---|---|---|---|---|