Parameters Compressing in Deep Learning

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 presen...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2020, Vol.62 (1), p.321-336
Hauptverfasser:	He, Shiming, Li, Zhuozhou, Tang, Yangning, Liao, Zhuofan, Li, Feng, Lim, Se-Jung
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Decomposition Deep learning Lower bounds Machine learning Mathematical analysis Matrix methods Natural language processing Neural networks Parameters Tensors
Online-Zugang:	Volltext
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