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Perceptron network

Perceptron network Structure Rosenblatt 1 developed the perceptron algorithm in 1958 for image recognition purposes. It is a binary classifier. It means that the material to be classified is binary coded (0 or 1). Networks consist of an input layer and a processing layer with adaptive weights between them. There can be additional layers, but
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This page has been updated 24.11.2020