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Volumn 2, Issue , 2015, Pages 1462-1471

DRAW: A recurrent neural network for image generation

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; IMAGE CODING; LEARNING SYSTEMS; NETWORK ARCHITECTURE; RECURRENT NEURAL NETWORKS;

EID: 84983208884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1119)

References (32)
  • 3
    • 84867478719 scopus 로고    scopus 로고
    • Learning where to attend with deep architectures for image tracking
    • Denil, Misha, Bazzani, Loris, Larochelle, Hugo, and de Freitas, Nando. Learning where to attend with deep architectures for image tracking. Neural computation, 24(8):2151-2184, 2012.
    • (2012) Neural Computation , vol.24 , Issue.8 , pp. 2151-2184
    • Denil, M.1    Bazzani, L.2    Larochelle, H.3    De Freitas, N.4
  • 4
    • 0034293152 scopus 로고    scopus 로고
    • Learning to forget: Continual prediction with lstm
    • Gers, Felix A, Schmidhuber, Jürgen, and Cummins, Fred. Learning to forget: Continual prediction with lstm. Neural computation, 12(10):2451-2471, 2000.
    • (2000) Neural Computation , vol.12 , Issue.10 , pp. 2451-2471
    • Gers, F.A.1    Schmidhuber, J.2    Cummins, F.3
  • 9
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • Hinton, Geoffrey E and Salakhutdinov, Ruslan R. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, 2006.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 16
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Yann, Bottou, Léon, Bengio, Yoshua, and Haffner, Patrick. Gradient-based 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.