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Related Questions
- Can transfer learning be applied to fine-tune pre-trained models for natural language processing tasks such as sentiment analysis or text classification?
- How does transfer learning handle domain adaptation, where the pre-trained model is fine-tuned for a different domain or task?
- What are some real-world examples of transfer learning in computer vision, such as object detection or image classification?
- Can transfer learning be used to adapt pre-trained models for low-resource languages or domains with limited data?
- What are the benefits and limitations of using pre-trained models as a starting point for transfer learning?
- Can transfer learning be applied to reinforcement learning tasks, such as game playing or robotics?
- How does transfer learning impact the performance of models on out-of-distribution or unseen data?
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