https://wiki.alt-text.eu/index.php?action=history&feed=atom&title=BackpropagationBackpropagation - Revision history2026-09-15T06:23:48ZRevision history for this page on the wikiMediaWiki 1.45.3https://wiki.alt-text.eu/index.php?title=Backpropagation&diff=20&oldid=previmported>ALT-TEXT: Import: AI terminology and people glossary2026-09-07T10:36:21Z<p>Import: AI terminology and people glossary</p>
<p><b>New page</b></p><div>== Backpropagation ==<br />
The algorithm that makes [[Gradient descent|gradient descent]] practical for [[Neural network|neural networks]]: it calculates how much each individual parameter in the network contributed to an error, working backwards from the output layer to the input layer, so that every parameter can be adjusted by the right amount. Backpropagation, combined with gradient descent, is the standard method by which neural networks learn. (See also: [[Gradient descent]], [[Neural network]])<br />
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[[Category:Glossary]]<br />
[[Category:Artificial Intelligence]]<br />
[[Category:Machine Learning]]<br />
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