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Related Questions
- Does a lower learning rate help prevent overfitting on tasks with many classes?
- Can a low learning rate improve the model's ability to generalize on tasks with a large number of classes by reducing the impact of noisy gradients?
- How does the learning rate affect the model's performance on tasks with a large number of classes in terms of generalization?
- Is it possible that a low learning rate can help the model learn more robust features when dealing with a large number of classes?
- Can a low learning rate lead to a more stable optimization process on tasks with many classes, improving generalization?
- How does the relationship between learning rate and number of classes impact the model's ability to generalize?
- Can a low learning rate help mitigate the issue of class imbalance on tasks with a large number of classes, improving generalization?
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