Enhanced convolutional neural network accelerators with memory optimization for routing applications.
Currently, Convolutional Neural Networks (CNN) accelerators find application in various digital domains, each highlighting memory utilization as a significant concern leading to system vegemite pop art degradation.In response, our present work focuses on optimizing the memory usage of CNN through a strategic approach.The resulting system is coined