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arXiv 2017

Publication: GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework. Published May 25, 2017.

arxiv.orgPublished May 25, 2017
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Overview

Publication: GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework. Published May 25, 2017.

Publication information

Publication title
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework
Authors
Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li
Published
May 25, 2017
Last publication revision
May 2, 2018
Venue / journal
Neural Networks(Volume 100,April 2018)
Subject areas
cs.LG, cs.CV, stat.ML
Publication source
arxiv.org · abs/1705.09283v5 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/1705.09283 ↗

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