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- W4229456138 abstract "In the paper, the use of deep neural networks and deep learning technologies to quantify image quality is considered. As a software tool, Keras package with TensorFlow as BackEnd was used, the database TID2013 of images was used for computer evaluation, some set of images was used for training the neural network, and the other set of images was used for testing. The use of a neural network with learning from the beginning is considered, as well as a pre-trained basic neural network VGG16 with additional layers of neurons for which training was carried out. The structures of the used neural networks, illustrations of learning procedures, test results end their comparing are given." @default.
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- W4229456138 date "2022-02-22" @default.
- W4229456138 modified "2023-09-23" @default.
- W4229456138 title "Assessment of Image Quality Based on Deep Neural Networks" @default.
- W4229456138 doi "https://doi.org/10.1109/tcset55632.2022.9767010" @default.
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