APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS IN IMAGE RECOGNITION TO INSURANCE
DOI:
https://doi.org/10.24867/13JV01RepicKeywords:
Convolutional neural networks, Image recognition, Insurance, Data processingAbstract
The research topic of the paper is application of image recognition to insurance using convolutional neural networks. Special emphasis is on data processing and understanding the architecture of convolutional neural networks. In this paper we analyze need for introducing image recognition to insurance, and also good and bad sides of that.
References
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[5] Marko M. Dabović, Igor I. Tartalja“Duboke konvolucijske neuronske mreže - koncepti i aktuelna istraživanja”, Zbornik 61. Konferencije za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, ETRAN 2017, Kladovo, 05. do 08. juna 2017.
[6] https://www.superdatascience.com/blogs/the-ultimate-guide-to-convolutional-neural-networks-cnn (pristupljeno u oktobru 2020.)
[2] https://nanonets.com/blog/data-augmentation-how-to-use-deep-learning-when-you-have-limited-data-part-2/ (pristupljeno u oktobru 2020.)
[3] Miloš Manić “Smanjenje dimenzionalnosti prostornih podataka pomoću veštačkih neuronskih mreža”, Matematički Fakultet, Univerzitet u Beogradu , 2018.
[4] https://cs231n.github.io/convolutional-networks/ (pristupljeno u septembru 2020.)
[5] Marko M. Dabović, Igor I. Tartalja“Duboke konvolucijske neuronske mreže - koncepti i aktuelna istraživanja”, Zbornik 61. Konferencije za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, ETRAN 2017, Kladovo, 05. do 08. juna 2017.
[6] https://www.superdatascience.com/blogs/the-ultimate-guide-to-convolutional-neural-networks-cnn (pristupljeno u oktobru 2020.)
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Published
2021-08-05
Issue
Section
Mathematics in Engineering
