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Related Questions
- What are the different types of data augmentation techniques used in neural networks?
- How does data augmentation improve the generalizability of a model to unseen data?
- Can you provide examples of data augmentation techniques used in image recognition tasks?
- What is the difference between data augmentation and data preprocessing in the context of neural networks?
- How does data augmentation impact the training process and model performance?
- Can you explain the concept of overfitting and its consequences in neural networks?
- How do neural networks handle data augmentation during inference, and what are the implications for model deployment?
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