midKeras
What is batch normalization in Keras?
Updated May 16, 2026
Short answer
Batch normalization normalizes layer inputs to stabilize training.
Deep explanation
It reduces internal covariate shift and speeds up convergence by normalizing activations.
Real-world example
Used in deep CNNs like ResNet for stable training.
Common mistakes
- Placing BatchNorm after activation incorrectly.
Follow-up questions
- Does BatchNorm improve accuracy?
- Where to place BatchNorm?