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Related Questions
- What are the common pre-trained model architectures used for transfer learning?
- How does the number of layers in a pre-trained model affect the risk of overfitting?
- Can you explain the difference between overfitting and underfitting in the context of transfer learning?
- What are some strategies for regularizing a pre-trained model to prevent overfitting?
- How does the choice of optimizer and learning rate impact the risk of overfitting?
- Can you discuss the role of data augmentation in reducing overfitting in transfer learning?
- What are some techniques for early stopping to prevent overfitting in pre-trained models?
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