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Related Questions
- What are the primary benefits of using data augmentation techniques in image classification tasks?
- How can GANs be used to generate new training data and improve model generalizability?
- What are some common data augmentation techniques used in image classification, and how can they be combined?
- Can you explain the concept of adversarial training and its role in preventing overfitting in image classification tasks?
- How can you balance the use of data augmentation and GANs to avoid overfitting and improve model performance?
- What are some challenges and limitations of using GANs for data augmentation in image classification tasks?
- Can you provide an example of how to implement GAN-based data augmentation in a deep learning framework like TensorFlow or PyTorch?
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