Low Bit-width Convolutional Neural Network on RRAM

The emerging resistive random-access memory (RRAM) has been widely applied in accelerating the computing of deep neural networks. However, it is challenging to achieve highprecision computations based on RRAM due to the limits of the resistance level and the interfaces. Low bit-width convolutional neural networks (CNNs) provide promising solutions to introduce low bit-width RRAM devices and low bi...