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🧠 Neural Network Training: 2D Decision Boundary

2D classifier: a two-hidden-layer ReLU network trained with SGD, Momentum or Adam on XOR, circles, moons or spiral data, with live decision boundary and loss curves.

AI & Machine Learning2DModerate60 FPS📱 Mobile-adapted⇄ 3D version
2d-neural-network-training ↗ Open standalone
⚙ Under the hood

Adjust weights and biases in a 2-hidden-layer ReLU network to learn 2D classification tasks using SGD, Momentum, or Adam optimizers.

neural networkoptimizerclassification

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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