How do hyperparameters affect model performance?

How do hyperparameters affect model performance?

Hyperparameters are crucial as they control the learning process and can significantly impact the model's accuracy.

Can you give examples of common hyperparameters?

Sure! Common hyperparameters include learning rate, batch size, number of epochs, and regularization parameters.

What happens if I set the learning rate too high?

If the learning rate is too high, the model may converge too quickly to a suboptimal solution or diverge entirely.

How can I optimize hyperparameters effectively?

You can use techniques like grid search, random search, or Bayesian optimization to find the best hyperparameters.