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Related Questions
- What are the primary characteristics of pre-trained models that enable successful transfer learning?
- How do the size and complexity of pre-trained models impact transfer learning outcomes?
- What role does the choice of task or dataset play in determining the effectiveness of transfer learning?
- What are the benefits and limitations of fine-tuning pre-trained models versus using them as feature extractors?
- How do the quality and quantity of the target dataset influence the success of transfer learning?
- What are some common pitfalls to avoid when fine-tuning pre-trained models for specific tasks?
- Can you provide examples of successful transfer learning applications in different domains?
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