A Comparison of Pooling Methods for Convolutional Neural Networks

A Comparison of Pooling Methods for Convolutional Neural Networks

One of the most promising techniques used in various sciences is deep neural networks (DNNs). A special type of DNN called a convolutional neural network (CNN) consists of several convolutional layers, each preceded by an activation function and a pooling layer. The feature map of the previous layer...

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Hlavní autoři: Afia Zafar, Muhammad Aamir, Nazri Mohd Nawi, Ali Arshad, Saman Riaz, Abdulrahman Alruban, Ashit Kumar Dutta, Sultan Almotairi
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-08-01
Edice:Applied Sciences
Témata:
pooling methods
deep network
convolutional neural network
overfitting
down sampling
visual recognition
On-line přístup:https://www.mdpi.com/2076-3417/12/17/8643

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https://www.mdpi.com/2076-3417/12/17/8643

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