midKeras
What is early stopping in Keras?
Updated May 16, 2026
Short answer
Early stopping halts training when validation performance stops improving.
Deep explanation
It prevents overfitting by monitoring validation loss or accuracy.
Real-world example
Used in production ML pipelines to save compute.
Common mistakes
- Monitoring training loss instead of validation loss.
Follow-up questions
- What is patience?
- Can early stopping restore best weights?