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Backpropagation: Difference between revisions
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{{see also|machine learning terms}} | |||
==Introduction== | ==Introduction== | ||
[[Backpropagation]] is a technique used to train [[artificial neural network]]s, [[machine learning models]] inspired by the structure and function of the human brain. This process adjusts the weights assigned to connections within the network in order to minimize [[error]]s between [[prediction]]s and actual [[input]] values. | [[Backpropagation]] is a technique used to train [[artificial neural network]]s, [[machine learning models]] inspired by the structure and function of the human brain. This process adjusts the weights assigned to connections within the network in order to minimize [[error]]s between [[prediction]]s and actual [[input]] values. | ||