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Related Questions
- Can a low learning rate lead to overfitting in a multi-class classification problem?
- How does the learning rate affect the model's generalization performance when dealing with a large number of classes?
- Are there any specific scenarios where a low learning rate might be beneficial for learning robust features in a multi-class classification task?
- Can you explain how the learning rate impacts the model's ability to detect subtle differences between classes with a large number of categories?
- Do you know of any trade-offs between using a high learning rate for faster training and a low learning rate for more robust feature learning in a multi-class scenario?
- What are some strategies for finding the optimal learning rate that balances the need for accurate feature learning and fast training in a multi-class task?
- Is it possible to use regularization techniques in conjunction with a low learning rate to learn more robust features in a large multi-class classification problem?
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