An early resource characterization of deep learning on wearables, smartphones and internet-of-things devices

IoT-App 2015 - Proceedings of the 2015 International Workshop on Internet of Things Towards Applications, co-located with SenSys 2015

Volumn , Issue , 2015, Pages 7-12

  Lane, Nicholas D ^a   Bhattacharya, Sourav ^a   Georgiev, Petko ^b   Forlivesi, Claudio ^a   Kawsar, Fahim ^a  

^a Bell Laboratories UK   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Deep Learning; Internet of Things; Wearables

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; COMPLEX NETWORKS; COMPUTER HARDWARE; COMPUTER VISION; HARDWARE; INFERENCE ENGINES; INTERNET; LEARNING SYSTEMS; NEURAL NETWORKS; RECONFIGURABLE HARDWARE; SMARTPHONES; WEARABLE TECHNOLOGY;

CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; EMPIRICAL FOUNDATIONS; INTERNET OF THINGS (IOT); PERFORMANCE CHARACTERISTICS; RESOURCE CHARACTERIZATIONS; WEARABLE APPLICATIONS; WEARABLES;

INTERNET OF THINGS;

EID: 84961165404     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2820975.2820980     Document Type: Conference Paper

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