When using transfer learning, what part of the pre-trained model is typically fine-tuned for the new task?
- Last few layers
- First few layers
- All layers
- Random layers
In transfer learning, the last few layers are typically fine-tuned because they contain task-specific information, while the early layers retain more generic features.
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