Perceptron (P)

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A linear classifier (binary) helps to classify the given input data into two parts.

perceptron_schematic_overview.png pointsandline.png

Two-Class Averaged Perceptron

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The averaged perceptron method is an early and very simple version of a neural network. In this approach, inputs are classified into several possible outputs based on a linear function, and then combined with a set of weights that are derived from the feature vector—hence the name "perceptron."