Dataset
Architecture
Hidden layers (neurons/layer):
Activation
Hyperparameters
Speed: —
Network 2→4→4→1
Decision Boundary
Metrics
Train Loss
—
Train Acc
—
Epoch
0
Gradient Norm
—
Loss Curve
Train Loss
Weight Distribution
All network weights histogram
Activation Heatmap
Mean activation per layer
Training Log