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Neural Networks
Perceptron
A single artificial neuron: weighted inputs, a sum, a threshold.
The perceptron takes several inputs, multiplies each by a weight, adds a bias and passes the total through an activation function. That is the entire unit, and everything since has been arrangements of it.
A single one can only separate data with a straight line — the limitation that stalled the field for a decade. Stack them in layers with non-linear activations and the limitation disappears.
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