For training a deep network, picking the right optimizer has become an important design choice. Standard optimizers (e.g., SGD, Adam, etc.) seek a minimum on the loss curve. This minimum is sought without regard for the curvature, i.e., the 2nd degree derivative of the loss curve. A curvature denotes the…