In the context of transfer learning, what is a potential risk when adapting a pre-trained model to a new task?
- Difficulty in fine-tuning hyperparameters.
- Loss of all knowledge from the source task.
- Overfitting to the source domain.
- Unavoidable decrease in model performance.
A potential risk in transfer learning is the loss of all knowledge from the source task. When adapting a pre-trained model to a new task, if not done carefully, the model might forget what it learned during the source task, which can hinder its performance on the new task.
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