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Related Questions
- How does transfer learning improve the performance of a deep learning model on a new task?
- What are the benefits and limitations of using pre-trained models for transfer learning?
- Can you explain the difference in the number of parameters required for a model trained from scratch versus a model using transfer learning?
- How does multi-task learning differ from transfer learning in terms of the number of tasks and the level of task similarity?
- What are some common applications of multi-task learning in real-world scenarios?
- How does the choice of task similarity impact the performance of a multi-task learning model?
- Can you provide an example of a scenario where transfer learning is more suitable than multi-task learning, and vice versa?
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