Neural Networks & Deep Learning
Batch Normalization
A technique that normalizes layer inputs to stabilize and accelerate training by reducing internal covariate shift.
Related Concepts
- Layer Normalization: Explore how Layer Normalization relates to Batch Normalization
- Training Stability: Explore how Training Stability relates to Batch Normalization
- Covariate Shift: Explore how Covariate Shift relates to Batch Normalization
Why It Matters
Understanding Batch Normalization is crucial for anyone working with neural networks & deep learning. This concept helps build a foundation for more advanced topics in AI and machine learning.
Learn More
This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
neural-networks-deep-learning layer-normalization training-stability covariate-shift