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Related Questions
- What are the primary methods of data augmentation, and how do they impact model performance?
- Can you explain the concept of overfitting and how data augmentation helps to mitigate it?
- How does data augmentation affect the robustness of a model to adversarial attacks?
- What are the potential drawbacks of relying solely on data augmentation for improving model generalizability?
- Can you discuss the relationship between data augmentation and the concept of 'domain adaptation' in machine learning?
- How does data augmentation impact the interpretability of model predictions, particularly in the context of explainable AI?
- What are some common techniques for evaluating the effectiveness of data augmentation in improving model generalizability?
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