Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks Conference

Wang, Yanzhi, Zhan, Zheng, Zhao, Liang et al. (2019). Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks . 5369-5376.

cited authors

  • Wang, Yanzhi; Zhan, Zheng; Zhao, Liang; Tang, Jian; Wang, Siyue; Li, Jiayu; Yuan, Bo; Wen, Wujie; Lin, Xue

sustainable development goals

authors

date/time interval

  • January 27, 2019 -

publication date

  • January 1, 2019

keywords

  • COMPUTATION
  • Computer Science
  • Computer Science, Artificial Intelligence
  • Computer Science, Theory & Methods
  • ENERGY COMPLEXITY
  • Engineering
  • Engineering, Electrical & Electronic
  • Science & Technology
  • Technology

Location

  • Honolulu, HI

Conference

  • 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence

publisher

  • ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE

start page

  • 5369

end page

  • 5376