Neural Network — Train & Visualize in Browser
Network Architecture
Dataset
Hidden layers (comma-separated sizes)
Output classes (comma-separated labels)
Activation
Sigmoid
ReLU
Training Parameters
Learning rate
Epochs
Actions
Train Network
Stop
Clear Console
Export Model JSON
Import Model JSON
Predict
Positive weight
Negative weight
Line thickness = |weight|
Define the network architecture above, then click
Train Network
. Training runs entirely in your browser — no server required.
GitHub