This browser demo makes neural-network training visible and editable
You can now watch a small neural network learn in real time, change its hidden layers, and see exactly how architecture affects the result. The browser demo animates forward signals and backward gradients while it trains on XOR, circle, spiral, or diagonal datasets, with live loss, accuracy, and decision-boundary views. It is built from scratch in JavaScript, so stepping through one epoch exposes the learning loop rather than hiding it behind a library.