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dc.contributor.authorWei, Henbingru
dc.contributor.authorQian, Longweiru
dc.contributor.authorZhang, Caiguiru
dc.coverage.spatialМинскru
dc.date.accessioned2024-01-23T11:03:52Z
dc.date.available2024-01-23T11:03:52Z
dc.date.issued2023
dc.identifier.citationWei, Henbing. Image recognition system based on convolutional neural network / Henbing Wei, Longwei Qian, Caigui Zhang // Новые горизонты - 2023 : сборник материалов X Белорусско-Китайского молодежного инновационного форума, 9-10 ноября 2023 года / Белорусский национальный технический университет. – Минск : БНТУ, 2023. – Т. 1. – С. 137-139.ru
dc.identifier.urihttps://rep.bntu.by/handle/data/139823
dc.description.abstractIn recent years, image recognition technology has been widely used in civil, military, scientific research and other fields. Convolutional neural network has the advantages of automatic feature extraction, hierarchical structure, spatial invariance and powerful expression ability. In this paper, we take dog and cat image recognition as an example, and construct a seven-layer convolutional network to achieve the recognition and classification of dog and cat images.ru
dc.language.isoenru
dc.publisherБНТУru
dc.titleImage recognition system based on convolutional neural networkru
dc.typeWorking Paperru


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