What is the impact of normalization on training time in machine learning?

What is the impact of normalization on training time in machine learning?

Normalization can significantly reduce training time by speeding up convergence and improving model performance.

How does normalization affect the learning rate?

Normalization allows for a higher learning rate, which can lead to faster training and better results.

Are there different types of normalization techniques?

Yes, common techniques include Min-Max scaling, Z-score normalization, and Robust scaling, each with its own use cases.

Can normalization help with overfitting?

While normalization itself doesn't directly prevent overfitting, it can improve model generalization by stabilizing training.

What are the downsides of normalization?

Normalization can sometimes lead to loss of information and may not be suitable for all types of data.