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Related Questions
- What are the key differences between fine-tuning and training from scratch in transfer learning?
- How does pre-training on a large dataset help to improve the performance of a specialized model?
- Can you explain the concept of feature reuse in transfer learning and its benefits?
- What are some common challenges that arise when applying transfer learning to a new domain?
- How does transfer learning help to reduce the need for large amounts of labeled data in specialized domains?
- What are some popular techniques for adapting a pre-trained model to a new task or domain?
- Can you discuss the trade-offs between the accuracy of a specialized model and the domain-agnostic performance of a pre-trained model?
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