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Objectives 4 Perceptron Learning Rule

Objectives 4 Perceptron Learning Rule

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th row of the weight matrix with the input vector is greater than or equal to , the output will be 1, otherwise the output will be 0. Thus each neuron in the network divides the input space into two regions. It is useful to investigate the boundaries between these regions. We will begin with the simple case of a single-neuron percep-

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