midKeras
What is transfer learning in Keras?
Updated May 16, 2026
Short answer
Transfer learning reuses pretrained models for new tasks.
Deep explanation
It leverages learned features from large datasets to improve performance on smaller datasets.
Real-world example
Using ImageNet models for medical image classification.
Common mistakes
- Not freezing base layers when needed.
Follow-up questions
- What is fine-tuning?
- Why use pretrained models?