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Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2021, Volume 35, Number 2, Pages 56–62
DOI: https://doi.org/10.26117/2079-6641-2021-35-2-56-62 (Mi vkam475) 		 
INFORMATION AND COMPUTATION TECHNOLOGIES

Using deep learning neural network model to solve the problems of classification of unwanted content in social media

A. S. Bobin

Vitus Bering Kamchatka State University
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DOI: https://doi.org/10.26117/2079-6641-2021-35-2-56-62
Abstract: When solving classification problems using deep learning, they face the problem of model convergence. This problem occurs due to the limited amount of data in the samples.
Keywords: deep learning models, transfer learning, cross entropy, softmax layers, InceptionV3.
Document Type: Article
UDC: 512.24
MSC: 68T07
Language: Russian
Citation: A. S. Bobin, “Using deep learning neural network model to solve the problems of classification of unwanted content in social media”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 35:2 (2021), 56–62
Citation in format AMSBIB
\Bibitem{Bob21}
\by A.~S.~Bobin
\paper Using deep learning neural network model to solve the problems of classification of unwanted content in social media
\jour Vestnik KRAUNC. Fiz.-Mat. Nauki
\yr 2021
\vol 35
\issue 2
\pages 56--62
\mathnet{http://mi.mathnet.ru/vkam475}
\crossref{https://doi.org/10.26117/2079-6641-2021-35-2-56-62}
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