Ислом тафаккури – Исламская мысль – Islamic thought – (2024) · 102-105-betler

ALGORITHMS BASED ON CONVOLUTIONAL NEURAL NETWORKS IN THE INFORMATION SECURITY PROCESS

ЖУМАЕВ, Турдали, ОБИДИНОВ, Раҳмонжон

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Annotaciya

This article analyzes convolutional neural network (CNN) algorithms, a deep learning method based on computer vision. CNNs have high accuracy in image classification due to their ability to automatically extract features from images. The article provides detailed information about CNN’s core layers, including convolutional, cumulative, and fully connected layers. The article also examines CNN’s application in clothing image classification with the Fashion MNIST data set. CNN algorithms demonstrated high efficiency and accurate results in the experiments conducted. This algorithm can also be used to recognize ancient manuscripts.

convolutional neural networkdeep learningimage classificationimage recognitionFashion MNISTdata set.конволюционная нейронная сетьуглубленное обучениеклассификация изображенийраспознавание изображений

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Dáyeksóz alıw

APA 7 
ЖУМАЕВ, Турдали & ОБИДИНОВ, Раҳмонжон (2024). ALGORITHMS BASED ON CONVOLUTIONAL NEURAL NETWORKS IN THE INFORMATION SECURITY PROCESS. Ислом тафаккури – Исламская мысль – Islamic thought –, 102-105.
GOST R 7.0.5 
ЖУМАЕВ, Турдали, ОБИДИНОВ, Раҳмонжон ALGORITHMS BASED ON CONVOLUTIONAL NEURAL NETWORKS IN THE INFORMATION SECURITY PROCESS // Ислом тафаккури – Исламская мысль – Islamic thought –. 2024. С. 102-105.
BibTeX 
@article{турдали2024,
  author  = {ЖУМАЕВ, Турдали and ОБИДИНОВ, Раҳмонжон},
  title   = {ALGORITHMS BASED ON CONVOLUTIONAL NEURAL NETWORKS IN THE INFORMATION SECURITY PROCESS},
  journal = {Ислом тафаккури – Исламская мысль – Islamic thought –},
  year    = {2024},
  pages   = {102-105}
}
RIS 
TY  - JOUR
AU  - ЖУМАЕВ, Турдали
AU  - ОБИДИНОВ, Раҳмонжон
TI  - ALGORITHMS BASED ON CONVOLUTIONAL NEURAL NETWORKS IN THE INFORMATION SECURITY PROCESS
JO  - Ислом тафаккури – Исламская мысль – Islamic thought –
PY  - 2024
SP  - 102
EP  - 105
ER  -