Popukaylo Vladimir Sergeevich (A Doctor of Philosophy in Informatics, Associate Professor of Information Technology and Automated Control of Production Processes, Shevchenko State University of Pridnestrovie)
Shmelyova Anastasiya Vladimirovna (Postgraduate student, Shevchenko State University of Pridnestrovie )
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The article describes the problem of introducing artificial neural networks with deep learning into enterprises. The method of automatic search of neural architecture is described, which allows optimizing and automating the process of developing deep learning models. The components of neural architecture search are considered, in particular: search space, search strategies and evaluation.
Keywords:Neural networks, deep learning, architecture of neural systems, architecture search
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Citation link:
Popukaylo V. S., Shmelyova A. V. SEARCH FOR THE ARCHITECTURE OF A NEURAL NETWORK // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№08. -С. 110-113 DOI 10.37882/2223-2966.2023.08.28 |
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