Show pageBacklinksExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. ====== Backpropagation ====== Backpropagation is a [[method]] used in [[artificial neural network]]s to calculate a [[gradient]] that is needed in the [[calculation]] of the [[weight]]s to be used in the [[network]]. Backpropagation is shorthand for "the backward propagation of errors," since an [[error]] is computed at the output and distributed backwards throughout the network’s layers. It is commonly used to train deep [[neural network]]s, a term referring to neural networks with more than one [[hidden layer]]. backpropagation.txt Last modified: 2025/05/13 02:03by 127.0.0.1