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Transfer Learning
Data / Training / Evaluation
Reusing knowledge from one task for another.
Transfer learning adapts a model pre-trained on a large dataset to a new, related task with less data.
- Example: Using a pretrained ResNet for medical image classification.
- Advantage: Reduces training time and data requirements.