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Volumn , Issue , 2016, Pages 25-30

DeepSense: A GPU-based deep convolutional neural network framework on commodity mobile devices

Author keywords

Deep learning; Mobile GPU; Mobile sensing application

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CONVOLUTION; FACE RECOGNITION; IMAGE RECOGNITION; LEARNING SYSTEMS; MOBILE DEVICES; NEURAL NETWORKS; OPTIMIZATION; PROGRAM PROCESSORS; WEARABLE TECHNOLOGY;

EID: 84979781377     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2935643.2935650     Document Type: Conference Paper
Times cited : (57)

References (11)
  • 4
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, editors, Curran Associates, Inc.
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, editors, Advances in Neural Information Processing Systems 25, pages 1097-1105. Curran Associates, Inc., 2012.
    • (2012) Advances in Neural Information Processing Systems , vol.25 , pp. 1097-1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 10
    • 77952162137 scopus 로고    scopus 로고
    • Opencl: A parallel programming standard for heterogeneous computing systems
    • J. E. Stone, D. Gohara, and G. Shi. Opencl: A parallel programming standard for heterogeneous computing systems. Computing in science & engineering, 12(1-3):66-73, 2010.
    • (2010) Computing in Science & Engineering , vol.12 , Issue.1-3 , pp. 66-73
    • Stone, J.E.1    Gohara, D.2    Shi, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.