Supporting Information for “Self-adaptive Learning in Memristor Convolutional Neural Networks”
- Mingqiang Huang
, - Wei Zhang,
- Lunshuai Pan,
- Xuelong Yan,
- Guangchao Zhao,
- Hong Chen,
- Xingli Wang,
- Beng Kang Tay,
- Gaokuo Zhong,
- Jiangyu Li
Mingqiang Huang
Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Corresponding Author:[email protected]
Author ProfileWei Zhang
Guangxi Key Laboratory of Automatic Detecting Technology and Instrument, Guilin University of Electronic Technology, Guilin 541004,China, Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Author ProfileLunshuai Pan
Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Xuelong Yan
Guangxi Key Laboratory of Automatic Detecting Technology and Instrument, Guilin University of Electronic Technology, Guilin 541004,China
Author ProfileGuangchao Zhao
CNRS-International-NTU-THALES-Research-Alliance, Nanyang Technological University, Singapore 639798, Singapore
Author ProfileHong Chen
Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Author ProfileXingli Wang
CNRS-International-NTU-THALES-Research-Alliance, Nanyang Technological University, Singapore 639798, Singapore
Author ProfileBeng Kang Tay
CNRS-International-NTU-THALES-Research-Alliance, Nanyang Technological University, Singapore 639798, Singapore
Author ProfileGaokuo Zhong
Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Author ProfileJiangyu Li
Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China, Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China
Author Profile04 Mar 2021Submitted to AISY Supporting Information 01 Jun 2021Published in AISY Supporting Information
