Translations:Overfitting and Regularization/24/en: Difference between revisions

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Message definition (Overfitting and Regularization)

{{Term|dropout}} can be interpreted as an approximate ensemble method: each training step uses a different subnetwork, and the final model approximates the average prediction of exponentially many subnetworks.

Dropout can be interpreted as an approximate ensemble method: each training step uses a different subnetwork, and the final model approximates the average prediction of exponentially many subnetworks.

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	~~{{Term\|dropout}}~~ can be interpreted as an approximate ensemble method: each training step uses a different subnetwork, and the final model approximates the average prediction of exponentially many subnetworks.		Dropout can be interpreted as an approximate ensemble method: each training step uses a different subnetwork, and the final model approximates the average prediction of exponentially many subnetworks.