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Related Questions
- What are the key factors to consider when selecting a pre-trained model for transfer learning in a specific domain?
- How do pre-trained models learn domain-specific knowledge and how can it be leveraged for transfer learning?
- What are the differences between fine-tuning and feature extraction in transfer learning and when to use each approach?
- How can the choice of pre-trained model affect the performance of the downstream task in transfer learning?
- What are the implications of using pre-trained models in transfer learning on the model's interpretability and explainability?
- How can the quality of the pre-trained model's training data impact the performance of the downstream task in transfer learning?
- What are some common challenges and limitations of using pre-trained models in transfer learning and how to address them?
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