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Neural Network Training with Asymmetric Crosspoint Elements
Analog crossbar arrays comprising programmable nonvolatile resistors are under intense investigation for acceleration of deep neural network training.
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays
By using this zero-shifting method, we show that network performance dramatically improves for imbalanced synapse devices.
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