Machine Learning by Kalita Jugal;

Author:Kalita, Jugal;
Language: eng
Format: epub
Publisher: CRC Press LLC
Published: 2022-11-09T00:00:00+00:00

assuming there are n input edges. This addition of weighted input signals is also inspired by actual biology. This summed input can be compactly written as . The cumulative input is passed through what is called an activation function . The output of the activation function, , is the output of this neuron numbered j. The activation function crudely mimics how the input is processed in the nucleus of a neuron. Thus,

(4.2)

where oi is the output of neuron i. There are many possible activation functions that can be used in building an artificial neuron. Among these, sigmoid, tanh and ReLu are common.

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