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

Latest revision as of 23:34, 27 April 2026

Information about message (contribute)

This message has no documentation. If you know where or how this message is used, you can help other translators by adding documentation to this message.

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.

Revision as of 22:02, 27 April 2026 (view source) FuzzyBot (talk \| contribs) (Importing a new version from external source) Tag: Manual revert ← Older edit		Latest revision as of 23:34, 27 April 2026 (view source) FuzzyBot (talk \| contribs) (Importing a new version from external source) Tag: Manual revert
Line 1:		Line 1:
	~~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.		{{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.