Real-world uses

Created for this library

1. 1.

   An ML team uses an adaptive step size in Adam so different parameters effectively get different learning rates.

2. 2.

   A research team tunes step size as the most impactful hyperparameter in its training pipeline before tuning batch size.

3. 3.

   An ML platform team standardizes step-size schedules per model family so engineers can focus on data and features.