ALGORITHMS BASED ON CONVOLUTIONAL NEURAL NETWORKS IN THE INFORMATION SECURITY PROCESS

ЖУМАЕВ, Турдали, ОБИДИНОВ, Раҳмонжон

Ислом тафаккури – Исламская мысль – Islamic thought – · 2026-yil

Annotatsiya

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.

Maqola ma’lumotlari
MualliflarЖУМАЕВ, Турдали, ОБИДИНОВ, Раҳмонжон
JurnalИслом тафаккури – Исламская мысль – Islamic thought –
Nashr sanasi2026-08-03
Jild7
Son4
Betlar102-105
TilO‘zbek

Maqolaning asl sahifasi

Kalit so‘zlar

convolutional neural network, deep learning, image classification, image recognition, Fashion MNIST, data set., конволюционная нейронная сеть, углубленное обучение, классификация изображений, распознавание изображений, Fashion MNIST, набор данных., конволюцион нейрон тармоқ, чуқур ўқитиш, тасвирларни таснифлаш, тасвирни таниб олиш, Fashion MNIST, маълумотлар тўплами.

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