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Related Questions
- What are some common techniques used to reduce overfitting in neural networks?
- Can you explain how dropout regularization works and its role in preventing overfitting?
- How does weight decay (L2 regularization) help in reducing overfitting in deep learning models?
- What is the concept of early stopping, and how can it be used to prevent overfitting?
- How does batch normalization help in reducing overfitting, and what are its benefits?
- Can you discuss the concept of data augmentation and its role in preventing overfitting?
- What are some techniques used to mitigate the effect of entity-based attention on model overfitting, such as attention masking, sparse attention, or other methods?
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