Iteration: Difference between revisions

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 {{see also|Machine learning terms}}
 ==Introduction==
-Iteration is a fundamental concept in machine learning that refers to the repeated execution of an operation over multiple cycles. This technique helps improve accuracy by tuning parameters until an optimal solution is found - in other words, iteration is simply repeating steps multiple times until one gets better results.
+In [[machine learning]], [[Iteration]] is when a [[model]] [[update]]s it's [[parameters]] ([[weights]] and [[biases]]) one time during [[training]].
 ==The Importance of Iteration in Machine Learning==