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Related Questions
- What is the primary function of regularization in deep learning, and how does dropout contribute to it?
- Can you explain the concept of overfitting in deep neural networks and how it occurs?
- How does dropout work, and what are the key parameters that affect its effectiveness?
- What are some other regularization techniques used in deep learning to prevent overfitting?
- Can you provide an example of how dropout is implemented in a neural network architecture?
- How does dropout impact the training time and accuracy of a deep neural network?
- What are some common pitfalls to avoid when using dropout in deep learning models?
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