juniorKeras
What is dropout in Keras?
Updated May 16, 2026
Short answer
Dropout randomly disables neurons during training.
Deep explanation
It prevents co-adaptation of neurons and improves generalization.
Real-world example
Used in image classification to reduce overfitting.
Common mistakes
- Using dropout during inference.
Follow-up questions
- Is dropout used in testing?
- What is typical dropout rate?