Impact of Training Set Batch Size on the Performance of Convolutional Neural Networks for Diverse Datasets

A problem of improving the performance of convolutional neural networks is considered. A parameter of the training set is investigated. The parameter is the batch size. The goal is to find an impact of training set batch size on the performance. To get consistent results, diverse datasets are used....

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Hlavní autor: Radiuk Pavlo M.
Médium: Artigo
Jazyk:Inglês
Vydáno: RTU PRESS 2017-12-01
Edice:Information Technology and Management Science
Témata:
Batch size
convolutional neural network
dataset
testing accuracy
On-line přístup:http://www.degruyter.com/view/j/itms.2017.20.issue-1/itms-2017-0003/itms-2017-0003.xml?format=INT
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