Shin-ichi O'Uchi, Hiroshi Fuketa, Tsutomu Ikegami, Wakana Nogami, Takashi Matsukawa, Tomohiro Kudoh, Ryousei Takano. Image-Classifier Deep Convolutional Neural Network Training by 9-bit Dedicated Hardware to Realize Validation Accuracy and Energy Efficiency Superior to the Half Precision Floating Point Format. In IEEE International Symposium on Circuits and Systems, ISCAS 2018, 27-30 May 2018, Florence, Italy. pages 1-5, IEEE, 2018. [doi]
@inproceedings{OUchiFINMKT18,
title = {Image-Classifier Deep Convolutional Neural Network Training by 9-bit Dedicated Hardware to Realize Validation Accuracy and Energy Efficiency Superior to the Half Precision Floating Point Format},
author = {Shin-ichi O'Uchi and Hiroshi Fuketa and Tsutomu Ikegami and Wakana Nogami and Takashi Matsukawa and Tomohiro Kudoh and Ryousei Takano},
year = {2018},
doi = {10.1109/ISCAS.2018.8350953},
url = {https://doi.org/10.1109/ISCAS.2018.8350953},
researchr = {https://researchr.org/publication/OUchiFINMKT18},
cites = {0},
citedby = {0},
pages = {1-5},
booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2018, 27-30 May 2018, Florence, Italy},
publisher = {IEEE},
isbn = {978-1-5386-4881-0},
}