PROPERTIES OF CONVOLUTIONAL NEURAL NETWORKS

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  • Musaeva Nurjahon Aktamkhon kizi ##default.groups.name.author##

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Convolutional neural network, artificial intelligence, machine learning areas, natural language processing, images and data, invariance, hierarchical feature, neural network, layers, convolution, pooling, fully connected.

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Convolutional neural networks are widely used in artificial intelligence and machine learning in image analysis, natural language processing, and other complex data processing. The main characteristics of CNNs are automatic feature learning, extraction of important elements in images and data, invariance, hierarchical feature detection, and efficient parameter sharing. This article provides detailed information on the working principle of convolutional neural networks, their layers (convolution, pooling, fully connected), as well as how they are used in real-world problems.

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  • Musaeva Nurjahon Aktamkhon kizi

    Karshi State Technical University,

    Student of the Department of Telecommunication Technologies

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2025-05-23

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##issue.vol## 26 ##issue.no## 6 (2025): Modern education and development

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Articles

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PROPERTIES OF CONVOLUTIONAL NEURAL NETWORKS. (2025). Modern Education and Development, 26(6), 205-210. https://scientific-jl.com/mod/article/view/15892