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Bias: Difference between revisions

23 bytes added ,  20 February 2023
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{{see also|machine learning terms}}
{{see also|machine learning terms|Bias (ethics/fairness)}}
In a [[neural network]], [[bias]] is an additional [[input]] value that is added to the weighted sum of the input values in each neuron, before the [[activation function]] is applied. It provides the network with the ability to adjust the output of the neuron independent of the input.
In a [[neural network]], [[bias]] is an additional [[input]] value that is added to the weighted sum of the input values in each neuron, before the [[activation function]] is applied. It provides the network with the ability to adjust the output of the neuron independent of the input.