Batch Normalization

Entity Type: Glossary ID: batch-normalization

Definition: A technique used in deep neural networks to normalize inputs to each layer, reducing internal covariate shift and allowing for faster training with higher learning rates. It also acts as a regularizer and can reduce overfitting.

Related Terms: - normalization - internal-covariate-shift - regularization - deep-learning

Source Urls: - https://en.wikipedia.org/wiki/Batch_normalization

Tags: - neural-networks - normalization - training-techniques

Status: active

Version: 1.0.0

Created At: 2025-08-31

Last Updated: 2025-08-31