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Related Questions
- What are the key differences in how multi-task learning and transfer learning handle task relationships and task learning rates?
- How does the number of tasks in multi-task learning impact the risk of overfitting and underfitting?
- Can you explain how transfer learning adapts to new tasks with varying levels of task similarity?
- What are some strategies for selecting the optimal number of tasks for multi-task learning?
- How does the number of tasks in transfer learning affect the fine-tuning process and model generalizability?
- What are the trade-offs between model performance and computational resources in multi-task learning as the number of tasks increases?
- Can you discuss the implications of task relationships on the performance of transfer learning versus multi-task learning?
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