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 powerconstrained devices like smartphones. You will learn various strategies to circumvent obstacles and build mobilefriendly 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
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