Weekly #106: Deep Learning on Mobile Devices

This talk explains how to practically bring the power of convolutional neural networks and deep learning to memory and power-constrained devices like smartphones. You will learn various strategies to circumvent obstacles and build mobile-friendly shallow CNN architectures that significantly reduce the memory footprint and therefore make them easier to store on a smartphone; The talk also dives into how to use a family of model compression techniques to prune the network size for live image processing, enab