Descending through a Crowded Valley —
Benchmarking Deep Learning Optimizers
Robin M. Schmidt * 1 Frank Schneider * 1 Philipp Hennig 1 2
Abstract 1. Introduction
Large-scale stochastic optimization drives a wide variety of
Choosing the optimizer is considered to be among machine learning tasks. Because choosing the right opti-
the most crucial design decisions in deep learning, mization met ...
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