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Related Questions
- What are the key assumptions in transfer learning that enable the adaptation of pre-trained models to new tasks?
- How does domain adaptation differ from transfer learning in terms of the type of knowledge transfer and adaptation?
- What are some common techniques used in domain adaptation to adjust a pre-trained model to a new domain?
- Can you explain the concept of 'domain shift' and its implications for domain adaptation?
- How does the choice of pre-trained model impact the effectiveness of transfer learning and domain adaptation?
- What are some real-world applications of transfer learning and domain adaptation in computer vision and natural language processing?
- How do you evaluate the performance of a pre-trained model after adjusting it using transfer learning or domain adaptation techniques?
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