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Related Questions
- What are the key differences between fine-tuning and training from scratch in transfer learning?
- How does the pre-trained model's knowledge representation affect the fine-tuning process?
- What are some common techniques used to adapt a pre-trained model to a new task?
- Can you explain the concept of 'feature reuse' in fine-tuning and its benefits?
- How does the choice of hyperparameters impact the fine-tuning process?
- What role does the 'learning rate' play in fine-tuning a pre-trained model?
- How can we determine the optimal amount of fine-tuning required for a given task?
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