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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. | ||