Sign-magnitude SC-Reference-Cited by-同舟云学术

Sign-magnitude SC

Published:2018-06-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 55th Annual Design Automation Conference
language:
Short-container-title:

Author:

Zhakatayev Aidyn¹,Lee Sugil¹,Sim Hyeonuk¹,Lee Jongeun¹

Affiliation:

1. UNIST, Ulsan, South Korea

Funder

Samsung Research Funding Center of Samsung Electronics

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3195970.3196113

Reference20 articles.

1. Martín Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard Manjunath Kudlur Josh Levenberg Rajat Monga Sherry Moore Derek Gordon Murray Benoit Steiner Paul A. Tucker Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu and Xiaoqiang Zhang. 2016. TensorFlow: A system for large-scale machine learning. CoRR abs/1605.08695 (2016). arXiv:1605.08695 Martín Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard Manjunath Kudlur Josh Levenberg Rajat Monga Sherry Moore Derek Gordon Murray Benoit Steiner Paul A. Tucker Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu and Xiaoqiang Zhang. 2016. TensorFlow: A system for large-scale machine learning. CoRR abs/1605.08695 (2016). arXiv:1605.08695

2. A. Ardakani F. Leduc-Primeau N. Onizawa T. Hanyu and W. J. Gross. 2016. VLSI implementation of deep neural networks using integral stochastic computing. In ISTC. 216--220. A. Ardakani F. Leduc-Primeau N. Onizawa T. Hanyu and W. J. Gross. 2016. VLSI implementation of deep neural networks using integral stochastic computing. In ISTC . 216--220.

3. Stochastic neural computation. II. Soft competitive learning

4. Origami

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