Difference between revisions of "Perceptron (P)"
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== Two-Class Averaged Perceptron == | == Two-Class Averaged Perceptron == | ||
Revision as of 07:27, 26 June 2018
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A linear classifier (binary) helps to classify the given input data into two parts.
Two-Class Averaged Perceptron
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."
