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Related Questions
- What are some common metrics used to determine when to stop training a neural network using early stopping?
- How does the choice of metric affect the performance of the neural network?
- Can you explain the concept of patience in early stopping and how it is used?
- What are some scenarios where early stopping might not be effective?
- How does early stopping interact with other regularization techniques in neural networks?
- Can you provide examples of metrics that are commonly used in early stopping, such as validation loss or accuracy?
- How can early stopping be used to prevent overfitting in neural networks?
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