Embedded Convolutional Neural Networks (ConvNets) are driving the evolution of ubiquitous systems that can sense and understand the environment autonomously. Due to their high complexity. aggressive compression is needed to meet the specifications of portable end-nodes. A variety of algorithmic optimizations are available today. https://www.roneverhart.com/Chicago-Bears-Adventure-Wagon-Portable-Utility-Wagon/