LOMOS
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Network Depth
Shallow (1x64)
1 Layer, 64 Nodes
Medium (2x32)
2 Layers, 32 Nodes
Deep (4x16)
4 Layers, 16 Nodes
Very Deep (8x8)
8 Layers, 8 Nodes
Activation
ReLU
Sigmoid
Learning Rate
0.01
Show Data Points
Train
Keep Curve
Avg Gradient vs Layer Depth (Input to Output)
Layer 1: 0.00e+0
L1
Layer 2: 0.00e+0
L2
Max: 1.0e-8
Loss History
No history
Deep vs Shallow
t: 0.00s
Network Schematic
Legend
Target
Current: Shallow (1x64)
Epoch: 0
Loss: 0.000e+0