CNN has been widely used in many image-related machine learning algorithms due to its high accuracy for image recognition. Convolution and fully-connected layers are two essential components for CNN.

Resistive random-access memory (RRAM) has been explored to implement neuromorphic systems to accelerate neural networks. In this study, an RRAM crossbar array using parylene C (PPXC) as both a ...