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Related Questions
- What are the common techniques used for data augmentation in machine learning?
- How can label smoothing be used to improve the robustness of deep neural networks?
- What is the concept of adversarial augmentation, and how can it be applied to reduce overfitting?
- Can you explain the process of generating synthetic data for augmenting existing datasets?
- What is the difference between augmenting the training data and fine-tuning the model to adapt to new data?
- How can transfer learning be used to augment the knowledge of a model and reduce overfitting?
- What are some real-world examples of data augmentation techniques used in computer vision applications to reduce overfitting?
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