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Volumn , Issue , 2016, Pages

8-bit approximations for parallelism in deep learning

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; BANDWIDTH; DATA TRANSFER; PROGRAM PROCESSORS;

EID: 85083953599     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (69)

References (21)
  • 5
  • 13
  • 14
    • 84910651844 scopus 로고    scopus 로고
    • Deep learning in neural networks: An overview
    • Schmidhuber, Jürgen. Deep learning in neural networks: An overview. Neural Networks, 61:85–117, 2015.
    • (2015) Neural Networks , vol.61 , pp. 85-117
    • Schmidhuber, J.1
  • 19
    • 84893343292 scopus 로고    scopus 로고
    • Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
    • Tieleman, Tijmen and Hinton, Geoffrey. Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude. COURSERA: Neural Networks for Machine Learning, 4, 2012.
    • (2012) COURSERA: Neural Networks for Machine Learning , vol.4
    • Tieleman, T.1    Hinton, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.