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Related Questions
- What are the different types of data augmentation techniques used in machine learning?
- How does data augmentation impact the generalization of a model to unseen data?
- Can you explain the concept of overfitting and how data augmentation helps to mitigate it?
- What are some common applications of data augmentation in real-world scenarios?
- How does data augmentation affect the size of the training dataset?
- What are the potential drawbacks of relying heavily on data augmentation?
- Can you discuss the relationship between data augmentation and transfer learning in deep learning models?
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