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Related Questions
- What are some common techniques for preventing overfitting in deep learning models?
- How can you adjust the architecture of a pre-trained model to reduce overfitting?
- What is the difference between early stopping and dropout in preventing overfitting?
- Can you explain the concept of regularization and its role in preventing overfitting?
- How can you use transfer learning to leverage pre-trained knowledge while minimizing overfitting?
- What are some strategies for selecting the right hyperparameters to balance pre-trained knowledge and overfitting?
- Can you discuss the trade-off between model complexity and overfitting, and how to navigate it?
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