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Related Questions
- What are some common pitfalls of using pre-trained models for fine-tuning in transfer learning?
- How can domain shift or distributional shift affect the performance of a model adapted through transfer learning?
- What are some strategies for regularizing the weights of a model during fine-tuning to prevent overfitting?
- Can you elaborate on the concept of catastrophic forgetting in transfer learning and how it can be addressed?
- What are some techniques for selecting the best hyperparameters for fine-tuning a pre-trained model?
- How can the performance of a model adapted through transfer learning be evaluated and validated?
- What are some potential drawbacks of using a single pre-trained model for multiple downstream tasks?
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