Ternary Weight Networks
Author:
Affiliation:
1. Shanghai Jiao Tong University,MOE Key Lab of Artificial Intelligence,Shanghai,China
2. AMSS, CAS,Institute of Applied Math.,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094626.pdf?arnumber=10094626
Reference25 articles.
1. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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3. Binarized neural networks;hubara;Advances in neural information processing systems,2016
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