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Related Questions
- What are the common techniques used for data augmentation in image classification tasks?
- How does data augmentation help to improve the generalizability of image classification models?
- Can you explain the concept of overfitting and how data augmentation can prevent it in image classification models?
- What is the difference between random cropping and random flipping in data augmentation?
- How can data augmentation be used to increase the size of the training dataset for image classification models?
- What are some common pitfalls to avoid when using data augmentation for image classification models?
- Can data augmentation be used to improve the robustness of image classification models to adversarial attacks?
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