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Author/Affiliation: Che-Huai Lin
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12 Pages, 931 KB Download PDF

Software and Hardware Enhancement of Convolutional Neural Networks on GPGPUs

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 2, Page # 28–39, 2018; DOI: 10.25046/aj030204
Abstract:

Convolutional Neural Networks (CNNs) have gained attention in recent years for their ability to perform complex machine learning tasks with high accuracy and resilient to noise of inputs. The time-consuming convolution operations of CNNs pose great challenges to both software as well as hardware designers. To achieve superior performance, a design involves careful concerns between…

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(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Software Engineering in Computer Science (CSE))

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