MLP Playground
Train a configurable multi-layer perceptron on clustered 2D points
Architecture
Hidden Layers
Layer 1
4 neurons
Layer 2
4 neurons
Training
Metrics
Epoch
0
Loss
—
Accuracy
—
Classes
3
Data Distribution & Predictions
Points are sampled from distinct clusters in 2D space. Fill color shows the predicted class, while the outline denotes the actual class. Larger outlined points mark misclassifications.
Class 0
Class 1
Class 2
Network Topology
Edge thickness encodes weight magnitude; color shows sign. Hover over nodes and connections to inspect exact values. Biases appear inside nodes, and small networks surface numeric labels directly on each edge.
Hover a node or edge to reveal exact weights, biases, and connectivity counts.
Weight Snapshot
Initialize the network to inspect its weights.
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