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Neural Network Decision Boundary

Architecture

Controls

Left-click: class 0. Right-click: class 1.

Training

Epoch 0
Loss
Accuracy %

About

A fully-connected feedforward network trained with backpropagation and stochastic gradient descent. The background color shows the network's decision (purple=class 0, orange=class 1). Dots are training points. Watch the decision boundary evolve as the network learns to separate non-linearly separable classes — impossible with a single linear classifier.