What is learning rate scheduling in machine learning?

What is learning rate scheduling in machine learning?

Learning rate scheduling is a technique to adjust the learning rate during training to improve model performance.

Why is it important to adjust the learning rate?

Adjusting the learning rate helps in converging faster and avoiding overshooting the optimal solution.

What are some common strategies for learning rate scheduling?

Common strategies include step decay, exponential decay, and cyclical learning rates.

Can you explain step decay in more detail?

Step decay reduces the learning rate by a factor every few epochs, allowing the model to fine-tune as it converges.