Implications of Pooling Strategies in Convolutional Neural Networks: A Deep Insight

Convolutional neural networks (CNN) is a contemporary technique for computer vision applications, where pooling implies as an integral part of the deep CNN. Besides, pooling provides the ability to learn invariant features and also acts as a regularizer to further reduce the problem of overfitting....

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Detalles Bibliográficos

Autores principales:	Sharma Shallu, Mehra Rajesh
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Sciendo 2019-09-01
Colección:	Foundations of Computing and Decision Sciences
Materias:	pooling strategies convolutional neural network visual recognition regularization overfitting
Acceso en línea:	https://doi.org/10.2478/fcds-2019-0016
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