Training Process Animation

Watch Loss decrease and Accuracy increase as the neural network learns epoch by epoch

Loss & Accuracy Curves

Loss (lower is better)

Accuracy (higher is better)

Training Controls
Total Epochs 20
Learning Rate 0.010
Noise Level 0.020
Playback Speed 1.00
Live Metrics
Current Epoch
0
Current Loss
0.680
Accuracy
50.0%
LR Schedule
Warmup
Ready: Click "Start Training" to watch the loss curve and accuracy evolve dynamically.
Reading Guide
Slow convergence with stalled accuracy: Learning rate is likely too small.
Wildly oscillating curves: Learning rate is too large or noise level is too high.
Architecture: Input(400) - Hidden1(25) - Hidden2(15) - Output(1) with 10,431 total parameters.