Neural Network Training With Asymmetric Crosspoint Elements
Analog crossbar arrays comprising programmable non-volatile resistors are Caps under intense investigation for acceleration of deep neural network training.However, the ubiquitous asymmetric conductance modulation of practical resistive devices critically degrades the classification performance of networks trained with conventional algorithms.Here