Effects of approximation in computation on the accuracy and performance of deep neural network inference
Recently, deep learning is at the forefront of the state-of-the-art machine learning algorithms and has shown excellent results in a variety of applications such as medical field, consumer as well as autonomous vehicles. Convolutional Neural Network (CNN) - is the leading deep learning architecture...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
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Online Access: | http://eprints.utm.my/id/eprint/92804/1/UsmanUllahSheikh2020_EffectsofApproximationinComputationontheAccuracyandPerformance.pdf http://eprints.utm.my/id/eprint/92804/ http://dx.doi.org/10.1088/1757-899X/884/1/012083 |
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