The MATLAB framework to implement the 5-level CNN and 3-level ConvLSTM, for the manuscript
Wang, Z. et al. In situ training of feedforward and recurrent convolutional networks with memristors.
Authors(Alphabetic) : Daniel Belkin, Can Li, Yongyang Nie, Wenhao Song, Zhongrui Wang
Advisors: Prof. J. Joshua Yang (Email: jjyang at umass dot edu, Website: http://www.ecs.umass.edu/ece/jjyang/); Prof. Qiangfei Xia (Email: qxia at umass dot edu, Website: http://nano.ecs.umass.edu);
The codes have been tested on Mathworks Matlab R2017b.
Run the script in 'scripts' folder. The codes that interface the hardware is not provided.
The real_array2_conv backend are dependent on the measurement system and hardware. The experimental data will be provided upon reasonable request.
Copyright (c) 2018, Department of Electrical and Computer Engineering, University of Massachusetts Amherst All rights reserved.
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The MIT License (MIT)
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