Deep Neural Network Training with Distributed K-FAC
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DOI: 10.1109/tpds.2022.3161187
Abstract: Scaling deep neural network training to more processors and larger batch sizes is key to reducing end-to-end training time; yet, maintaining comparable convergence and hardware utilization at larger scales is a challenge. Increases in training… read more here.
Keywords: neural network; training; deep neural; training distributed ... See more keywords