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Title: Neural network operating peculiarities
Other Titles: Особливості роботи нейронної мережі
Authors: Varhach, Oleh
Kugai, Kseniia
Keywords: algorithm
deep structured learning
multilayer perceptron
Issue Date: Mar-2021
Publisher: Universitatea Tehnică a Moldovei
Citation: Vargach O. Neural network operating peculiarities / O. Varchach, K. Kugai // Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = The Technical-Scientific Conference of Undergraduate, Maste and PhD Students, Chişinău, Republica Moldova, 23-25 martie 2021. – In 2 vol. – Vol. 1. – Chişinău : Tehnica-UTM, 2021. – P. 264-267.
Abstract: The article analyzes operating peculiarities of the standard neural network for a multilayer perceptron. The network structure and the principle of inverse error propagation algorithm operation are described. The article deals with the notions of artificial neural networks and deep structured learning. Neural networks are the basis of a new and interesting area – deep structured learning. The work covers basic concepts, as well as some code and math, which can help understand and build simple neural networks.
Faculty: Інститут права та сучасних технологій
Department: Кафедра філології та перекладу
Appears in Collections:Кафедра філології та перекладу (ФП)
Матеріали наукових конференцій та семінарів

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