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Transfer Learning
転移学習(てんいがくしゅう)
IntermediateModels & Architecture
Reusing a model trained on one task as the starting point for a different but related task, saving time and data.
Why It Matters
Transfer learning makes AI accessible to smaller teams who can't afford to train models from scratch.
Example in Practice
Using a model trained on general images and adapting it to classify X-ray images with a small medical dataset.