Abstract
Generalized Nets (GNs) are constructed in a series of papers, representing the functioning and the results of the work of different types of Neural Networks (NNs). In the present research, we show the functioning and the results of the structure of a Convolutional Neural Networks.
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Acknowledgments
The authors are grateful for the support provided by the project “New Instruments for Knowledge Discovery from Data, and Their Modelling,” funded by the National Science Fund, Bulgarian Ministry of Education, Youth and Science (no. DN-02-10/2016).
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Sotirov, S., Sotirova, E., Surchev, S., Petkov, T., Georgieva, V. (2021). Generalized Net Model of the Deep Convolutional Neural Network. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_14
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