How a Neural Network Learns

Watch a tiny network master the XOR problem through gradient descent

🧠 The Network
Epoch
0
Loss
0.250
📉 Training Progress
0.8
The network is learning XOR: output is 1 only when inputs are different. Watch the weights adjust and the loss fall.