Compressing Deep Networks by Neuron Agglomerative Clustering

In recent years, deep learning models have achieved remarkable successes in various applications, such as pattern recognition, computer vision, and signal processing. However, high-performance deep architectures are often accompanied by a large storage space and long computational time, which make i...

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Detalles Bibliográficos
Autores principales: Wang, Li-Na, Liu, Wenxue, Liu, Xiang, Zhong, Guoqiang, Roy, Partha Pratim, Dong, Junyu, Huang, Kaizhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660330/
https://www.ncbi.nlm.nih.gov/pubmed/33114078
http://dx.doi.org/10.3390/s20216033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660330/
https://www.ncbi.nlm.nih.gov/pubmed/33114078
http://dx.doi.org/10.3390/s20216033

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