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Related Questions
- What are the primary methods of data augmentation, and how do they improve model generalization?
- Can you explain the concept of overfitting and how data augmentation helps mitigate it?
- How does data augmentation affect the model's ability to generalize to out-of-distribution data?
- What are some common pitfalls to avoid when implementing data augmentation techniques?
- Can you discuss the trade-off between data augmentation and overfitting in model training?
- How does data augmentation impact the model's robustness to adversarial attacks?
- What are some real-world applications of data augmentation in improving model generalization?
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