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Related Questions
- What are the key differences between transfer learning and fine-tuning in the context of domain adaptation?
- Can you explain how transfer learning can be used to adapt a model trained on a large dataset to a smaller dataset from a different domain?
- How does the concept of domain shift relate to transfer learning, and what are the implications for model performance?
- What are some common techniques used to adapt models to new domains through transfer learning?
- Can you provide examples of successful applications of transfer learning in domain adaptation, such as in natural language processing or computer vision?
- How does the size of the target domain dataset impact the effectiveness of transfer learning, and what are the trade-offs involved?
- What are some challenges and limitations of using transfer learning for domain adaptation, and how can they be addressed?
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