Batch Normalization

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Glossary

Batch-Normalisierung

Batch-Normalisierung ist eine transformative Technik im Deep Learning, die den Trainingsprozess von neuronalen Netzwerken erheblich verbessert, indem sie interne Kovariatenverschiebungen adressiert, Aktivierungen stabilisiert und ein schnelleres sowie stabileres Training ermöglicht.

AI Deep Learning Neural Networks +2
• 4 min read

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