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Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.749811
Abstract: While promising for high-capacity machine learning accelerators, memristor devices have non-idealities that prevent software-equivalent accuracies when used for online training. This work uses a combination of Mini-Batch Gradient Descent (MBGD) to average gradients, stochastic rounding…
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Keywords:
streaming batch;
rank seq;
memristor;
decomposition methods ... See more keywords