A Comparison of Pooling Methods for Convolutional Neural Networks
A Comparison of Pooling Methods for Convolutional Neural Networks
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Basel: MDPI AG
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English
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Basel: MDPI AG
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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 is sampled by the pooling layer (that seems to be...
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A Comparison of Pooling Methods for Convolutional Neural Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_f5bb06ff46664a00982cdcd41f55bc9c
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f5bb06ff46664a00982cdcd41f55bc9c
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app12178643
