In face recognition, deep learning has always been a technology and problem that people need to improve. With the development of time, deep learning has the characteristics of self-learning ability, strong expression ability and better stability, and it is an effective solution to face recognition. However, in the sheltered environment, deep learning still faces many challenges. Different methods are used to expand the new deep learning methods, which can effectively solve the face recognition features in occlusion environment. This paper compares and classifies the related algorithms of deep learning and the traditional algorithms of deep learning. In particular, the network structure and construction principle of some classical algorithms are reviewed. Finally, discusses and summarizes their future development trends and directions. This study has certain reference significance for related scholars.
This study investigates the impact of three types of epidemics on green innovation output using interaction terms and asystem of simultaneous equations, using data from around the world from 2010 to 2019 in 66 countries. Our empiricalevidence confirms that epidemic intensity is a key factor influencing green innovation and hindering internationaltechnology spillovers through international and regional R&D investment. Finally, we discuss the policy implications ofour results.
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