Optimization Tools for ConvNets on the Edge

The shift of Convolutional Neural Networks (ConvNets) into low-power devices with limited compute and memory resources calls for cross-layer strategies spanning from hardware to software optimization. This work answers to this need, presenting a collection of tools for efficient deployment of ConvNets on the edge,