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

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