Neural Network Simulator (XOR Example)

This simulator uses a small feed-forward neural network with one hidden layer (2 neurons) to learn the XOR problem. Click “Train” to watch the error gradually decrease. The diagram is redrawn each epoch, illustrating the updated weights. You can click “Reset” to randomize weights and start fresh.