Using deep learning neural network model to solve the problems of classification of unwanted content in social media
Vestnik KRAUNC. Fiziko-matematičeskie nauki, Tome 35 (2021) no. 2, pp. 56-62
Voir la notice de l'article provenant de la source Math-Net.Ru
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.
A. S. Bobin. Using deep learning neural network model to solve the problems of classification of unwanted content in social media. Vestnik KRAUNC. Fiziko-matematičeskie nauki, Tome 35 (2021) no. 2, pp. 56-62. http://geodesic.mathdoc.fr/item/VKAM_2021_35_2_a5/
@article{VKAM_2021_35_2_a5,
author = {A. S. Bobin},
title = {Using deep learning neural network model to solve the problems of classification of unwanted content in social media},
journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
pages = {56--62},
year = {2021},
volume = {35},
number = {2},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/VKAM_2021_35_2_a5/}
}
TY - JOUR AU - A. S. Bobin TI - Using deep learning neural network model to solve the problems of classification of unwanted content in social media JO - Vestnik KRAUNC. Fiziko-matematičeskie nauki PY - 2021 SP - 56 EP - 62 VL - 35 IS - 2 UR - http://geodesic.mathdoc.fr/item/VKAM_2021_35_2_a5/ LA - ru ID - VKAM_2021_35_2_a5 ER -
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