Translations:Batch Normalization Accelerating Deep Network Training/25/en: Difference between revisions

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Message definition (Batch Normalization Accelerating Deep Network Training)

{{Term|batch normalization}} also influenced how practitioners think about network design. By stabilizing the training dynamics, it made {{Term|hyperparameter}} search more forgiving and encouraged the development of deeper and wider architectures. The technique's interaction with other components — {{Term|learning rate}}, weight initialization, and {{Term|regularization}} — remains an active area of study.

batch normalization also influenced how practitioners think about network design. By stabilizing the training dynamics, it made hyperparameter search more forgiving and encouraged the development of deeper and wider architectures. The technique's interaction with other components — learning rate, weight initialization, and regularization — remains an active area of study.

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	~~Batch~~ normalization also influenced how practitioners think about network design. By stabilizing the training dynamics, it made hyperparameter search more forgiving and encouraged the development of deeper and wider architectures. The technique's interaction with other components — learning rate, weight initialization, and regularization — remains an active area of study.		{{Term\|batch normalization}} also influenced how practitioners think about network design. By stabilizing the training dynamics, it made {{Term\|hyperparameter}} search more forgiving and encouraged the development of deeper and wider architectures. The technique's interaction with other components — {{Term\|learning rate}}, weight initialization, and {{Term\|regularization}} — remains an active area of study.