A Comparative Measurement Study of Deep Learning as a Service Framework

29 Oct 2018Yanzhao WuLing LiuCalton PuWenqi CaoSemih SahinWenqi WeiQi Zhang

Big data powered Deep Learning (DL) and its applications have blossomed in recent years, fueled by three technological trends: a large amount of digitized data openly accessible, a growing number of DL software frameworks in open source and commercial markets, and a selection of affordable parallel computing hardware devices. However, no single DL framework, to date, dominates in terms of performance and accuracy even for baseline classification tasks on standard datasets, making the selection of a DL framework an overwhelming task... (read more)

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