Abstract: Enabling efficient and accurate deep neural network (DNN) inference on microcontrollers is challenging due to their constrained on-chip resources. Existing approaches mainly focus on ...

Abstract: Deploying deep neural network (DNN) models on Microcontroller Units (MCUs) is typically limited by the tightness of the SRAM memory budget. Previously, machine learning system frameworks ...