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Related Questions
- How does the choice of batch size impact the trade-off between accuracy and fairness in deep learning models with class imbalance?
- Can a larger number of epochs lead to overfitting in class-imbalanced datasets, and if so, how to mitigate this issue?
- What is the effect of early stopping on the fairness of deep learning models when dealing with imbalanced classes?
- How does the choice of optimizer and learning rate influence the class imbalance problem in deep learning models?
- Can you explain the concept of fairness in the context of class imbalance, and how does it relate to the choice of epoch size?
- What are some common techniques used to address class imbalance in deep learning models, and how do they relate to the choice of epoch size?
- Can a larger epoch size lead to increased bias in deep learning models with class imbalance, and if so, how to detect and mitigate it?
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