Effects of approximation in computation on the accuracy and performance of deep neural network inference

• Main Authors: Hui, Nee Ow1, Sheikh, Usman Ullah, Mohd. Mokji, Musa
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...