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Related Questions
- What is the optimal level of pre-training and fine-tuning in transfer learning?
- How does the sweet spot in transfer learning affect the performance of a model on unseen data?
- Can you provide examples of how the sweet spot in transfer learning can be achieved in practice?
- What are the consequences of straying from the sweet spot in transfer learning?
- How does the sweet spot in transfer learning relate to the concept of regularization in machine learning?
- Can you explain how the sweet spot in transfer learning is influenced by the size and complexity of the pre-trained model?
- What are the implications of the sweet spot in transfer learning for the generalizability of models across different datasets?
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