Optimization of CNN through Novel Training Strategy for Visual Classification Problems

The convolution neural network (CNN) has achieved state-of-the-art performance in many computer vision applications e.g., classification, recognition, detection, etc. However, the global optimization of CNN training is still a problem. Fast classification and training play a key role in the developm...

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Detalles Bibliográficos
Autores principales: Rehman, Sadaqat ur, Tu, Shanshan, Rehman, Obaid ur, Huang, Yongfeng, Magurawalage, Chathura M. Sarathchandra, Chang, Chin-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512808/
https://www.ncbi.nlm.nih.gov/pubmed/33265381
http://dx.doi.org/10.3390/e20040290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512808/
https://www.ncbi.nlm.nih.gov/pubmed/33265381
http://dx.doi.org/10.3390/e20040290

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