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Related Questions
- How does transfer learning adapt to new tasks with limited data in few-shot learning models?
- Can you explain the process of pre-training a model on a large dataset and fine-tuning it for a smaller dataset in few-shot learning?
- In what ways does transfer learning help to generalize better to new tasks in few-shot learning scenarios?
- How can transfer learning be used to reduce overfitting and improve performance in few-shot learning models?
- Can you provide examples of applications where transfer learning has been successfully used in few-shot learning?
- What are some common techniques used to select the pre-trained model weights for transfer learning in few-shot learning?
- How does the performance of transfer learning in few-shot learning models change with the increase in the size of the fine-tuning dataset?
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