Backpropagation
id:
backpropagation-174-7739225
title:
Backpropagation
text:
In machine learning, backpropagation is a gradient estimation method commonly used for training neural networks to compute the network parameter updates. It is an efficient application of the chain rule to neural networks. Backpropagation computes the gradient of a loss function with respect to the weights of the network for a single input–output example, and does so efficiently, computing the gradient one layer at a time, iterating backward from the last layer to avoid redundant calculations of
brand slug:
wiki
category slug:
encyclopedia
description:
Optimization algorithm for artificial neural networks
original url:
https://en.wikipedia.org/wiki/Backpropagation
date created:
2005-01-04T00:26:53Z
date modified:
2024-09-03T04:21:17Z
main entity:
{"identifier":"Q798503","url":"https://www.wikidata.org/entity/Q798503"}
image:
fields total:
13
integrity:
15