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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