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Title: | Aplicarea reţelei neuronale de tip DCGAN pentru generarea logourilor [Aticol] |
Authors: | Sochircă, Roman Gorea, Adela, conducător şt. |
Keywords: | neural networks DCGAN network logos generating tensorflow google colab |
Issue Date: | 2023 |
Publisher: | USARB |
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. |
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. |
URI: | http://dspace.usarb.md:8080/jspui/handle/123456789/6187 |
Appears in Collections: | Articole |
Files in This Item:
File | Description | Size | Format | |
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Sochrca_Aplicarea.pdf | 619,23 kB | Adobe PDF | View/Open |
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