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pro vyhledávání: '"N. N. Kuzmitsky"'
Autor:
N. N. Kuzmitsky
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 7, Pp 65-71 (2019)
The analysis of convolutional neural model is done. The software is developed, allowing to train and test convolutional neural networks of base architecture LeNet-5. Efficiency of technique multi training and distortions of training images is shown.
Externí odkaz:
https://doaj.org/article/144f61736c9d41b3b1d0eb95f407498f
Autor:
N. N. Kuzmitsky
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 4, Pp 33-39 (2019)
Presents the method of constructing universal classifiers of text images based on three-level committee of convolutional neural networks, generation and accounting of specific text patterns features, depending on methods of their synthesis. Efficienc
Externí odkaz:
https://doaj.org/article/ed93a46d30dd47abad2b20a18e431d2f
Autor:
N. N. Kuzmitsky
Publikováno v:
Informatika, Vol 0, Iss 2, Pp 12-21 (2016)
A model of text image detector based on a convolutional neural network architecture is presented, capable of synthesizing high-level features of images in the «black box» mode. An implementation of the detector application, based on algorithms of m
Externí odkaz:
https://doaj.org/article/38fffacfe92b4b4a9735a6baae70fa77