Facebook AI’s MADGRAD optimizer improves neural network training
Facebook AI’s MADGRAD optimizer improves neural network training
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization
arXiv paper abstract https://arxiv.org/abs/2101.11075
arXiv PDF paper https://arxiv.org/pdf/2101.11075.pdf
We’re introducing an optimizer for deep learning, MADGRAD. This method matches or exceeds the performance of the Adam optimizer across a varied set of realistic large-scale deep learning training problems.
GitHub https://github.com/facebookresearch/madgrad
Read the Docs documentation https://madgrad.readthedocs.io/en/latest
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