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2篇 您的检索式：作者名="He Yangning"

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		题名	作者	年代	出处	被引量
	1	显示文摘	He Yangning Li Yujing Yin Jianjun	2008	Acta Poly-merica Sinica2008，2，：	1
	2	Parameters Compressing in Deep Learning显示文摘With the popularity of deep learning tools in image decomposition and natural language processing,how to support and store a large number of parameters required by deep learning algorithms has become an urgent problem to be solved.These parameters are huge and can be as many as millions.At present,a feasible direction is to use the sparse representation technique to compress the parameter matrix to achieve the purpose of reducing parameters and reducing the storage pressure.These methods include matrix decomposition and tensor decomposition.To let vector take advance of the compressing performance of matrix decomposition and tensor decomposition,we use reshaping and unfolding to let vector be the input and output of Tensor-Factorized Neural Networks.We analyze how reshaping can get the best compress ratio.According to the relationship between the shape of tensor and the number of parameters,we get a lower bound of the number of parameters.We take some data sets to verify the lower bound.	Shiming He Zhuozhou Li Yangning Tang Zhuofan Liao Feng Li Se-Jung Lim	2020	Computers, Materials & Continua2020，，1：	1

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