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Related Questions
- What are the key differences between task-specific and general-purpose training in machine learning?
- How does transfer learning help to bridge the gap between specialized and domain-agnostic models?
- Can you provide examples of tasks where transfer learning has been particularly effective in improving performance?
- What are some common challenges associated with transfer learning, and how can they be addressed?
- How does the choice of pre-trained model and fine-tuning strategy impact the effectiveness of transfer learning?
- What are some emerging applications of transfer learning in areas such as natural language processing and computer vision?
- Can transfer learning be used to adapt models to new domains or tasks without significant retraining, and if so, how?
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