Advanced Implementation of DNN Translator using ResNet9 for Edge Devices
Author:
Affiliation:
1. Kumamoto University
2. Mitsubishi Electric Engineering
Publisher
IJNC Editorial Committee
Link
https://www.jstage.jst.go.jp/article/ijnc/14/2/14_145/_pdf
Reference20 articles.
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2. [2] Yosi Ben-Asher and Nadav Rotem. The benefits of using variable-length pipelined operations in high-level synthesis. ACM Trans. Embed. Comput. Syst., 13(3), dec 2013.
3. [3] Olivier Debauche, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Pierre Manneback, and Frédéric Lebeau. A new edge architecture for ai-iot services deployment. Procedia Computer Science, 175:10–19, 2020.
4. [4] Li Deng. The mnist database of handwritten digit images for machine learning research. IEEE Signal Processing Magazine, 29(6):141–142, 2012.
5. [5] Mery Diana, Masato Kiyama, Motoki Amagasaki, Masayoshi Ito, and Yuki Morishita. Deep neural network translator for edge site implementation. In Proceeding of 2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW), page 52, Matsue, Japan, nov 2023.
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