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Volumn 9908 LNCS, Issue , 2016, Pages 646-661

Deep networks with stochastic depth

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; STOCHASTIC SYSTEMS;

EID: 84990052802     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46493-0_39     Document Type: Conference Paper
Times cited : (1793)

References (35)
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    • 0001295178 scopus 로고
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    • Hastad, J., Goldmann, M.: On the power of small-depth threshold circuits. Comput. Complex. 1(2), 113-129 (1991)
    • (1991) Comput. Complex , vol.1 , Issue.2 , pp. 113-129
    • Hastad, J.1    Goldmann, M.2
  • 11
    • 0028392483 scopus 로고
    • Learning long-term dependencies with gradient descent is difficult
    • Bengio, Y., Simard, P., Frasconi, P.: Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Networks 5(2), 157-166 (1994)
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.2 , pp. 157-166
    • Bengio, Y.1    Simard, P.2    Frasconi, P.3
  • 22
    • 84986328536 scopus 로고    scopus 로고
    • Gradual dropin of layers to train very deep neural networks
    • Smith, L.N., Hand, E.M., Doster, T.: Gradual dropin of layers to train very deep neural networks. In: CVPR (2016)
    • (2016) CVPR
    • Smith, L.N.1    Hand, E.M.2    Doster, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.