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Related Questions
- What is the purpose of data augmentation in machine learning?
- How does data augmentation help create diverse and representative negative examples?
- Can you explain the importance of negative examples in machine learning model training?
- What techniques are used to generate negative examples through data augmentation?
- How does data augmentation impact the performance of machine learning models?
- What are some common challenges in creating reliable negative examples using data augmentation?
- Can you provide examples of data augmentation techniques used to create negative examples in specific machine learning tasks?
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