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Volumn , Issue , 2016, Pages 1519-1525

Learning step size controllers for robust neural network training

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; STOCHASTIC SYSTEMS;

EID: 85007152018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (78)

References (24)
  • 6
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • Duchi, J.; Hazan, E.; and Singer, Y. 2011. Adaptive subgradient methods for online learning and stochastic optimization. The Journal of Machine Learning Research (JMLR) 12:2121-2159.
    • (2011) The Journal of Machine Learning Research (JMLR) , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 11
    • 79958765670 scopus 로고    scopus 로고
    • Learning dynamic tactile sensing with robust vision-based training
    • Kroemer, O.; Lampert, C.; and Peters, J. 2011. Learning Dynamic Tactile Sensing with Robust Vision-based Training. IEEE Transactions on Robotics (T-Ro) (3):545-557.
    • (2011) IEEE Transactions on Robotics (T-Ro) , Issue.3 , pp. 545-557
    • Kroemer, O.1    Lampert, C.2    Peters, J.3
  • 14
    • 84943274699 scopus 로고
    • A direct adaptive method for faster backpropagation learning: The RPROP algorithm
    • Riedmiller, M., and Braun, H. 1993. A direct adaptive method for faster backpropagation learning: The RPROP algorithm. Neural Networks.
    • (1993) Neural Networks
    • Riedmiller, M.1    Braun, H.2
  • 21
    • 84893343292 scopus 로고    scopus 로고
    • Lecture 6.5 RMSprop: Divide the Gradient by The Running Average of its recent magnitude
    • Tieleman, T., and Hinton, G. 2012. Lecture 6.5 RMSprop: Divide the Gradient by The Running Average of its recent magnitude. In COURSERA: Neural Networks for Machine Learning.
    • (2012) COURSERA: Neural Networks for Machine Learning
    • Tieleman, T.1    Hinton, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.