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Related Questions
- What are the primary factors that affect the accuracy of a model in transfer learning?
- How does the choice of pre-trained model impact the efficiency and generalizability of a transfer learning approach?
- What are some strategies for balancing accuracy and efficiency in transfer learning, and what are their trade-offs?
- In what situations is it more beneficial to prioritize generalizability over accuracy in transfer learning, and vice versa?
- Can you explain the concept of 'domain adaptation' in transfer learning, and how it relates to accuracy, efficiency, and generalizability?
- How do hyperparameter tuning and model selection impact the trade-offs between accuracy, efficiency, and generalizability in transfer learning?
- What are some common pitfalls or challenges that can arise when trying to balance accuracy, efficiency, and generalizability in transfer learning, and how can they be addressed?
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