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| Ultima descărcare din IBN: 2021-10-27 01:44 |
 SM ISO690:2012VARHACH, Oleh, KUGAI, Kseniia. Neural network operating peculiarities. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor, 23-25 martie 2021, Chișinău. Chișinău, Republica Moldova: Tehnica-UTM, 2021, Vol.1, pp. 264-267. ISBN 978-9975-45-700-2 (Vol. I). |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor Vol.1, 2021 |
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Conferința "Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor" Chișinău, Moldova, 23-25 martie 2021 | ||||||
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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. |
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| Cuvinte-cheie algorithm, deep structured learning, neuron, artificial, multilayer perceptron. |
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