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Related Questions
- What are the common techniques used to prevent overfitting in deep learning models?
- How does early stopping help in preventing overfitting, and what are its limitations?
- What is the role of regularization techniques, such as L1 and L2 regularization, in reducing overfitting?
- Can you explain the concept of cross-validation and its importance in determining the optimal epoch size?
- How does the choice of optimizer and learning rate affect the epoch size and risk of overfitting?
- What are some general guidelines for choosing the optimal epoch size based on the model's complexity and dataset size?
- Can you discuss the trade-off between model capacity and epoch size in preventing overfitting?
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