What is learning rate tuning in machine learning?

What is learning rate tuning in machine learning?

Learning rate tuning is the process of adjusting the learning rate parameter in training algorithms to optimize model performance.

Why is the learning rate so important?

The learning rate determines how quickly a model updates its weights during training. A rate that's too high can cause overshooting, while a rate that's too low can lead to slow convergence.

How can I find the best learning rate for my model?

You can use techniques like grid search, random search, or learning rate schedules to experiment and find the optimal learning rate.

Are there any tools to help with learning rate tuning?

Yes, libraries like Keras and PyTorch offer built-in functions for learning rate tuning, such as callbacks and learning rate finders.