Aplicarea reţelei neuronale de tip DCGAN pentru generarea logourilor [Aticol]

Sochircă, Roman

Please use this identifier to cite or link to this item: http://dspace.usarb.md:8080/jspui/handle/123456789/6187

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DC Field	Value	Language
dc.contributor.author	Sochircă, Roman	ro
dc.contributor.other	Gorea, Adela, conducător şt.	ro
dc.date.accessioned	2023-07-24T11:22:26Z	-
dc.date.available	2023-07-24T11:22:26Z	-
dc.date.issued	2023	-
dc.identifier.citation	Sochircă, Roman. Aplicarea reţelei neuronale de tip DCGAN pentru generarea logourilor / Roman Sochircă ; conducător ştiinţific: Adela Gorea // Interuniversitaria : Materialele Conferinţei Ştiinţifice Internaţionale a Studenţilor, 04 mai 2023, Ediţia a 19-a. – Bălţi : [S. n.], 2023 (CEU US). – Vol. 2. – P. 85-89. – ISBN 978-9975-50-303-7.	ro
dc.identifier.uri	http://dspace.usarb.md:8080/jspui/handle/123456789/6187	-
dc.description.abstract	This article examines the applicability of neural networks, particularly the DCGAN architecture, to logos generation. The model was trained on a dataset consisting of 22000 logo images giving a good result for the hardware capabilities provided for free by Google Colab. Essentially by increasing the training time and increasing the complexity of the model can achieve very good results.	en
dc.language.iso	ro	ro
dc.publisher	USARB	ro
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	neural networks	en
dc.subject	DCGAN network	en
dc.subject	logos generating	en
dc.subject	tensorflow	en
dc.subject	google colab	en
dc.title	Aplicarea reţelei neuronale de tip DCGAN pentru generarea logourilor [Aticol]	ro
dc.type	Article	en
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