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Related Questions
- What are some regularization techniques that can be used to prevent overfitting during fine-tuning?
- How can data augmentation be used to increase the size of a smaller dataset and reduce overfitting?
- What is the role of early stopping in preventing overfitting during fine-tuning?
- Can using a smaller model architecture help prevent overfitting on smaller datasets?
- How can ensemble methods, such as bagging and boosting, be used to reduce overfitting during fine-tuning?
- What is the effect of increasing the learning rate decay schedule on preventing overfitting during fine-tuning?
- Can using a different optimizer, such as Adam or RMSprop, help prevent overfitting during fine-tuning?
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