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Published in 2020 at "International Journal of Electrical and Computer Engineering"
DOI: 10.32985/ijeces.11.1.1
Abstract: In this paper, we analyze heterogeneous performance exhibited by some popular deep learning software frameworks for visual inference on a resource-constrained hardware platform. Benchmarking of Caffe, OpenCV, TensorFlow, and Caffe2 is performed on the same…
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Keywords:
deep learning;
performance assessment;
learning frameworks;
performance ... See more keywords
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Published in 2017 at "Informs Journal on Computing"
DOI: 10.5392/ijoc.2017.13.1.038
Abstract: Increased use of software and complexity of software functions, as well as shortened software quality evaluation periods, have increased the importance and necessity for automation of software testing. Automating software testing by using machine learning…
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Keywords:
machine learning;
software testing;
learning frameworks;
automated software ... See more keywords