https://wiki.alt-text.eu/index.php?action=history&feed=atom&title=Loss_functionLoss function - Revision history2026-09-15T06:23:38ZRevision history for this page on the wikiMediaWiki 1.45.3https://wiki.alt-text.eu/index.php?title=Loss_function&diff=53&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>== Loss function ==<br />
A mathematical measure of how wrong an AI model's output is compared to what it should have been, used to guide training. [[Gradient descent|Gradient descent]] works by adjusting the model's [[Parameters (AI model)|parameters]] to make the loss function's value as small as possible. Different tasks use different loss functions, but the underlying idea, quantifying error so it can be minimised, is the same across almost all machine learning. (See also: [[Gradient descent]], [[Parameters (AI model)|Parameters]])<br />
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[[Category:Glossary]]<br />
[[Category:Artificial Intelligence]]<br />
[[Category:Machine Learning]]<br />
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