MLP Interactive Visualization
Build, train, and visualize a Multi-Layer Perceptron.
1. Data & Training
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Data Input Class:
Class 0 (Blue)
Class 1 (Red)
Load Dataset:
Manual Input
Two Moons
Concentric Circles
XOR
Spiral
Data Noise:
Learning Rate:
Epochs:
Optimizer:
Adam
SGD
RMSprop
Batch Size:
Regularization:
None
L1
L2
Reg. Rate (Îģ):
2. MLP Architecture
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Hidden Layers:
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Add Layer
3. Actions
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Train
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Stop
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Reset
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Clear All
Training Status
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