Bias: Difference between revisions

25 bytes added ,  17 March 2023
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The bias term is learned during the training process, along with the [[weight]]s. The bias value is adjusted to minimize the error between the predicted output and the actual output. The presence of the bias term allows the neural network to model more complex relationships between the input and output.
The bias term is learned during the training process, along with the [[weight]]s. The bias value is adjusted to minimize the error between the predicted output and the actual output. The presence of the bias term allows the neural network to model more complex relationships between the input and output.


[[Category:Terms]] [[Category:Machine learning terms]]
[[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]]