#AIGlossary
batch normalization
#GoogleCloud

Normalizing the input or output of the activation functions in a hidden layer. Batch normalization can provide the following benefits:

Make neural networks more stable by protecting against outlier weights.
Enable higher learning rates, which can speed training.
Reduce overfitting.

https://developers.google.com/machine-learning/glossary#batch-normalization