PCA Based Kernel Initialization for Convolutional Neural Networks

The initialization of Convolutional Neural Networks (CNNs) is about providing reasonable initial values for the convolution kernels and the fully connected layers. In this paper, we proposed a convolution kernel initialization method based on the two-dimensional principal component analysis (2DPCA),...

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Detalles Bibliográficos
Autores principales: Wang, Yifeng, Rong, Yuxi, Pan, Hongyue, Liu, Ke, Hu, Yang, Wu, Fangmin, Peng, Wei, Xue, Xingsi, Chen, Junfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351687/
http://dx.doi.org/10.1007/978-981-15-7205-0_7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351687/
http://dx.doi.org/10.1007/978-981-15-7205-0_7

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