Perceptron

A diagram showing a perceptron updating its linear boundary as more training examples are added.

The appropriate weights are applied to the inputs, and the resulting weighted sum passed to a function that produces the output o.

In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers: functions that can decide whether an input (represented by a vector of numbers) belongs to one class or another. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector. The algorithm allows for online learning, in that it processes elements in the training set one at a time.

单词	Perceptron algorithm
释义	Perceptron algorithm 英语百科 Perceptron In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers: functions that can decide whether an input (represented by a vector of numbers) belongs to one class or another. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector. The algorithm allows for online learning, in that it processes elements in the training set one at a time.
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Perceptron algorithm

Perceptron