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Simple neural networks

The "Perceptron" is the simplest form of neural network. Ian Witten explains how the basic perceptron implements a linear decision boundary.

Neural network learning methods invite an analogy to the brain that is seductive but entirely misleading! The simplest form of neural network, called a “Perceptron”, implements a linear decision boundary. It operates iteratively, and the result depends on the order in which the instances are presented, but there is a theorem that proves that under certain circumstances it will converge rather than cycle indefinitely. The Perceptron has been the subject of much controversy during its 60-year life span.

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