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TL;DR
An adaptive optimizer that tracks first and second moments of the gradient per parameter. Became the default optimizer for deep learning almost overnight.
BACKLOG · WORK IN PROGRESS

This paper is being written.

The metadata and shape of this page are stable, but the body content isn't ready yet. We'll publish it once it meets the bar of teaching something new with worked examples and real tools.