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Related Questions
- Can you explain the concept of data augmentation and how it can be applied to images for transfer learning?
- How does data augmentation help prevent overfitting in transfer learning, and what are its limitations?
- What are some common data augmentation techniques used in image classification, and how can they be applied to transfer learning models?
- Can you discuss the effect of data augmentation on the accuracy and robustness of a transfer learning model?
- How can data augmentation be used in conjunction with other techniques, such as regularization and early stopping, to reduce overfitting?
- What are some challenges and considerations when applying data augmentation to transfer learning, and how can they be addressed?
- Can you provide examples of how data augmentation can be used to improve the performance of a transfer learning model on a specific task, such as object detection or segmentation?
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