Structural and Parametric Synthesis of Deep Learning Neural Networks

Gespeichert in:
Bibliographische Detailangaben
Datum:2020
Hauptverfasser: V. M. Syniehlazov, O. I. Chumachenko
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2020
Schriftenreihe:Artificial intelligence
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0001197830
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS
_version_ 1859501733386911744
author V. M. Syniehlazov
O. I. Chumachenko
author_facet V. M. Syniehlazov
O. I. Chumachenko
author_sort V. M. Syniehlazov
collection Open-Science
first_indexed 2025-07-17T12:42:37Z
format Article
id open-sciencenbuvgovua-14837
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
last_indexed 2025-07-17T12:42:37Z
publishDate 2020
record_format dspace
series Artificial intelligence
spelling open-sciencenbuvgovua-148372024-02-25T18:03:33Z Structural and Parametric Synthesis of Deep Learning Neural Networks V. M. Syniehlazov O. I. Chumachenko 2710-1673 2020 en Artificial intelligence http://jnas.nbuv.gov.ua/article/UJRN-0001197830 Article
spellingShingle Artificial intelligence
V. M. Syniehlazov
O. I. Chumachenko
Structural and Parametric Synthesis of Deep Learning Neural Networks
title Structural and Parametric Synthesis of Deep Learning Neural Networks
title_full Structural and Parametric Synthesis of Deep Learning Neural Networks
title_fullStr Structural and Parametric Synthesis of Deep Learning Neural Networks
title_full_unstemmed Structural and Parametric Synthesis of Deep Learning Neural Networks
title_short Structural and Parametric Synthesis of Deep Learning Neural Networks
title_sort structural and parametric synthesis of deep learning neural networks
url http://jnas.nbuv.gov.ua/article/UJRN-0001197830
work_keys_str_mv AT vmsyniehlazov structuralandparametricsynthesisofdeeplearningneuralnetworks
AT oichumachenko structuralandparametricsynthesisofdeeplearningneuralnetworks