What is a Learning Rate Scheduler and why is it important in Deep Learning training?

A learning rate scheduler dynamically adjusts the learning rate during training to improve convergence stability and final model performance.

The learning rate is one of the most critical hyperparameters in deep learning because it controls the step size of parameter updates during optimization.

A learning rate scheduler modifies this value over time based on a predefined rule or model performance.

Why it is needed:

Core idea: Start with a relatively high learning rate for fast learning, then gradually reduce it for fine-tuning near minima.

Common strategies:

1.…