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Volumn , Issue , 2016, Pages 730-734

Very deep convolutional neural network based image classification using small training sample size

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 84978884248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACPR.2015.7486599     Document Type: Conference Paper
Times cited : (933)

References (17)
  • 9
    • 77956002520 scopus 로고    scopus 로고
    • Learning multiple layers of features from tiny images
    • University of Toronto, Tech. Rep.
    • A. Krizhevsky and G. Hinton. Learning multiple layers of features from tiny images. Computer Science Department, University of Toronto, Tech. Rep, 1(4):7, 2009.
    • (2009) Computer Science Department , vol.1 , Issue.4 , pp. 7
    • Krizhevsky, A.1    Hinton, G.2
  • 11
    • 0032203257 scopus 로고    scopus 로고
    • Gradientbased learning applied to document recognition
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 13
    • 84893676344 scopus 로고    scopus 로고
    • Rectifier nonlinearities improve neural network acoustic models
    • A. L. Maas, A. Y. Hannun, and A. Y. Ng. Rectifier nonlinearities improve neural network acoustic models. In Proc. ICML, volume 30, 2013.
    • (2013) Proc. ICML , vol.30
    • Maas, A.L.1    Hannun, A.Y.2    Ng, A.Y.3
  • 17
    • 84906489074 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • Springer
    • M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional networks. In Computer Vision-ECCV 2014, pages 818-833. Springer, 2014.
    • (2014) Computer Vision-ECCV 2014 , pp. 818-833
    • Zeiler, M.D.1    Fergus, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.