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Published in 2017 at "International Journal of Parallel Programming"
DOI: 10.1007/s10766-017-0535-9
Abstract: Deep neural networks (DNNs) is one of the most popular machine learning methods and is widely used in many modern applications. The training process of DNNs is a time-consuming process. Accelerating the training of DNNs…
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Keywords:
accelerating deep;
cpu mic;
parallel mechanism;
deep learning ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192628
Abstract: Machine learning and parallel processing are extremely commonly used to enhance computing power to induce knowledge from an outsized volume of data. To deal with the problem of complexity and high dimension, machine learning algorithms…
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Keywords:
load balancing;
learning parallel;
reinforcement learning;
deep reinforcement ... See more keywords