Gao, Shuchao
Ohsawa, Takashi
Funding for this research was provided by:
China Scholarship Council
Article Title: A training method for deep neural network inference accelerators with high tolerance for their hardware imperfection
Journal Title: Japanese Journal of Applied Physics
Article Type: paper
Copyright Information: © 2024 The Japan Society of Applied Physics. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2023-10-11
Date Accepted: 2023-12-24
Online publication date: 2024-01-23