Bringing AI To Edge: From Deep Learning's Perspective

no code implementations • 25 Nov 2020 • Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam

To bridge the gap, a plethora of deep learning techniques and optimization methods are proposed in the past years: light-weight deep learning models, network compression, and efficient neural architecture search.

Edge-computing Hardware Aware Neural Architecture Search +2