Designing Reconfigurable Large-Scale Deep Learning Systems Using Stochastic Computing

Abstract

Deep Learning, as an important branch of machine learning and neural network, is playing an increasingly important role in a number of fields like computer vision, natural language processing, etc. However, large-scale deep... [ view full abstract ]

Authors

  1. Ao Ren (Syracuse University)
  2. Zhe Li (Syracuse University)
  3. Yanzhi Wang (Syracuse University)
  4. Qinru Qiu (Syracuse University)
  5. Bo Yuan (City University of New York)

Topic Areas

Topics: Neuromorphic, or “brain inspired”, computing , Topics: Error-tolerant logic and circuits , Topics: Approximate and stochastic computing

Session

OS-06B » Neuromorphic 4 (15:30 - Tuesday, 18th October, Del Mar Ballroom AB)

Paper

ID053_ICRC2016_finalpaper.pdf

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