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Oct, 2022
边缘设备上实现深度学习
Enabling Deep Learning on Edge Devices
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Zhongnan Qu
TL;DR
本论文探讨了 DNN 在资源受限的边缘设备上部署的优化问题,并研究了四种边缘智能场景下的深度学习方法,通过减少 DNN 冗余度来达到资源消耗与模型准确度之间的平衡。
Abstract
deep neural networks
(DNNs) have succeeded in many different perception tasks, e.g., computer vision, natural language processing, reinforcement learning, etc. The high-performed DNNs heavily rely on intensive
resource
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