Neural Networks and Perceptrons

Layers of weighted sums followed by non-linear activations, trained by backpropagation.

Intermediate

A perceptron computes $y = f(w \cdot x + b)$ . Stacking layers (an MLP) lets networks learn non-linear functions.

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