Show pageBacklinksCite current pageExport 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: 2024/06/07 02:50by 127.0.0.1