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Related Questions
- What are some common techniques used for regularization in machine learning?
- Can you provide examples of overfitting and underfitting in real-world scenarios?
- How does L1 regularization differ from L2 regularization in terms of its effect on model complexity?
- What is the purpose of dropout regularization in deep neural networks?
- Can you explain the concept of early stopping and its role in preventing overfitting?
- How does regularization affect the performance of a model on a test dataset?
- Can you provide examples of applications where regularization is particularly useful, such as in image classification or natural language processing?
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