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Related Questions
- What are some common techniques used to prevent overfitting in transfer learning, aside from regularization and early stopping?
- Can you explain the concept of data augmentation and how it can be used to prevent overfitting in transfer learning?
- How does dropout compare to other regularization techniques in preventing overfitting in transfer learning?
- What is the role of batch normalization in preventing overfitting in transfer learning?
- Can you discuss the use of transfer learning with pre-trained models and how it can help prevent overfitting?
- How does knowledge distillation help prevent overfitting in transfer learning?
- What is the difference between overfitting and underfitting, and how can transfer learning help mitigate both issues?
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