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Related Questions
- What are the key differences between transfer learning and fine-tuning in machine learning?
- Can you provide examples of how transfer learning has been successfully applied to different machine learning tasks?
- How does the choice of pre-trained model architecture impact the effectiveness of transfer learning?
- What are some common challenges associated with transfer learning, and how can they be addressed?
- How can transfer learning be used to adapt a model to a new domain or task with limited labeled data?
- Can you discuss the role of feature extraction in transfer learning, and how it relates to the concept of domain shift?
- What are some best practices for selecting a suitable pre-trained model for transfer learning?
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