📚 node [[batch_normalization|batch normalization]]
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⥅ related node [[batch_normalization]]
⥅ node [[batch_normalization]] pulled by Agora

batch normalization

Go back to the [[AI Glossary]]

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.
Reduce overfitting.
📖 stoas
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