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GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism

With the increasing demand for deep learning in the last few years, CNNs have been widely used in many applications and have gained interest in classification, regression, and image recognition tasks. The training of these deep neural networks is compute-intensive and takes days or even weeks to tra...

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Detalles Bibliográficos
Autores principales: Habib, Gousia, Qureshi, Shaima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705740/
https://www.ncbi.nlm.nih.gov/pubmed/36457992
http://dx.doi.org/10.3389/fncom.2022.1004988