Neural Network — Train & Visualize in Browser
Network Architecture
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
Height (ft):
Weight (lbs):
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