Perceptron Learning: Decision Boundary

The perceptron learning rule w ← w + η·(y − ŷ)·x converges in finite steps for linearly separable data (Rosenblatt 1958). Click to place class A (blue) or class B (red) points, then train. Neural network with hidden layer handles XOR.

Epoch: 0 | Accuracy: 0.0% | w = [0,0] | b = 0
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