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Related Questions
- What is overfitting, and why is it a problem in machine learning?
- How does overfitting occur in the context of transfer learning?
- Can you explain the concept of a 'sweet spot' in transfer learning and how it relates to overfitting?
- What are some strategies for preventing overfitting in transfer learning, such as regularization and early stopping?
- How does the choice of pre-trained model architecture impact the risk of overfitting in transfer learning?
- What role does data augmentation play in mitigating overfitting in transfer learning?
- Can you discuss the trade-offs between fine-tuning a pre-trained model and training a model from scratch in terms of overfitting?
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