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Related Questions
- What are the key hyperparameters to tune for a convolutional neural network (CNN) in image classification tasks?
- How do the learning rate and batch size interact with each other in deep neural networks?
- What is the impact of regularization techniques, such as dropout and L1/L2 regularization, on model performance and overfitting?
- What are the common hyperparameters to tune for decision trees and random forests, and how do they affect model performance?
- How does the choice of activation function (e.g., ReLU, sigmoid, tanh) affect the performance of a neural network?
- What is the difference between grid search and random search for hyperparameter tuning, and which one is more efficient?
- Can you explain the concept of early stopping in neural networks and when is it typically used?
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