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Volumn , Issue PART 3, 2013, Pages 2095-2103

Regularization of neural networks using DropConnect

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; IMAGE RECOGNITION; LEARNING SYSTEMS;

EID: 84897550107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1033)

References (13)
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    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • nov ISSN 0018-9219. doi: 10.1109/5.726791
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, nov 1998. ISSN 0018-9219. doi: 10.1109/5.726791.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 8
    • 84897517389 scopus 로고
    • Probable networks and plausible predictions - A review of practical bayesian methods for supervised neural networks
    • Springer
    • D. J. C. Mackay. Probable networks and plausible predictions - a review of practical bayesian methods for supervised neural networks. In Bayesian methods for backpropagation networks. Springer, 1995.
    • (1995) Bayesian Methods for Backpropagation Networks
    • Mackay, D.J.C.1
  • 9
    • 77956509090 scopus 로고    scopus 로고
    • Rectified Linear Units Improve Restricted Boltzmann Machines
    • V. Nair and G. E. Hinton. Rectified Linear Units Improve Restricted Boltzmann Machines. In ICML, 2010.
    • (2010) ICML
    • Nair, V.1    Hinton, G.E.2
  • 12
    • 0000539096 scopus 로고
    • Generalization by weight-elimination with application to forecasting
    • A. S. Weigend, D. E. Rumelhart, and B. A. Huberman. Generalization by weight-elimination with application to forecasting. In NIPS, 1991.
    • (1991) NIPS
    • Weigend, A.S.1    Rumelhart, D.E.2    Huberman, B.A.3
  • 13
    • 85083954484 scopus 로고    scopus 로고
    • Stochastic pooling for regualization of deep convolutional neural networks
    • M. D. Zeiler and R. Fergus. Stochastic pooling for regualization of deep convolutional neural networks. In ICLR, 2013.
    • (2013) ICLR
    • Zeiler, M.D.1    Fergus, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.