Study of the Effect of Combining Activation Functions in a Convolutional Neural Network

Convolutional Neural Networks (CNN’s) have proven to be an effective approach for solving image classification problems. The output, the accuracy and the computational efficiency of a CNN are determined mainly by the architecture, the convolutional filters, and the activation functions. Based o...

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主要作者:	Vergara Villegas, Osslan Osiris
其他作者:	Sossa Azuela, Juan Humberto, Cruz Sanchez, Vianey Guadalupe, Ochoa Domínguez, Humberto, Nandayapa, Manuel
格式:	Artículo
語言:	English
出版:	2020
主題:	Activation function Convolutional neural network Modified National Institute of Standards and Technology Fashion Modified National Institute of Standards and Technology Sigmoid Rectified linear unit info:eu-repo/classification/cti/7
在線閱讀:	https://latamt.ieeer9.org/index.php/transactions/article/view/4134
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Study of the Effect of Combining Activation Functions in a Convolutional Neural Network

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