Deep Learning On Edge Computing Devices

Deep Learning on Edge Computing Devices Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning including neural networks. The title helps researchers maximize the performance of Edgedeep learning models for mobile computing and other applications by presenting neural network algorithms and hardware design optimization approaches for Edgedeep learning. Applications are introduced in each section and a comprehensive example smart surveillance