Analog CMOS-based resistive processing unit for deep neural network training
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[1] Marc'Aurelio Ranzato,et al. Large Scale Distributed Deep Networks , 2012, NIPS.
[2] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[3] Gökmen Tayfun,et al. Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations , 2016, Front. Neurosci..
[4] Marc'Aurelio Ranzato,et al. Building high-level features using large scale unsupervised learning , 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[5] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[6] Suyog Gupta,et al. Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study , 2015, 2016 IEEE 16th International Conference on Data Mining (ICDM).
[7] Pritish Narayanan,et al. Neuromorphic computing using non-volatile memory , 2017 .