What are the key parameters in machine learning models?

What are the key parameters in machine learning models?

Key parameters in ML models include learning rate, regularization, number of layers, and batch size.

How does the learning rate affect model training?

The learning rate controls how much to change the model in response to the estimated error each time the model weights are updated.

What happens if the learning rate is too high?

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

Can you explain regularization and its importance?

Regularization helps prevent overfitting by adding a penalty for larger coefficients in the model.