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undergraduate thesis
Generiranje realističnih sintetičkih slika
2019. urn:nbn:hr:168:459210
Jaić, Mihael
University of Zagreb
Faculty of Electrical Engineering and Computing

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Jaić, M. (2019). Generiranje realističnih sintetičkih slika (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:459210

Jaić, Mihael. "Generiranje realističnih sintetičkih slika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:459210

Jaić, Mihael. "Generiranje realističnih sintetičkih slika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:459210

Jaić, M. (2019). 'Generiranje realističnih sintetičkih slika', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 November 2023, https://urn.nsk.hr/urn:nbn:hr:168:459210

Jaić M. Generiranje realističnih sintetičkih slika [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2023 November 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:459210

M. Jaić, "Generiranje realističnih sintetičkih slika", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:459210

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Metadata
TitleGeneriranje realističnih sintetičkih slika
Title (english)Generating realistic synthetic images
AuthorMihael Jaić
MentorTomislav Pribanić (mentor)
Committee memberTomislav Pribanić (predsjednik povjerenstva)
Committee memberNikola Banić (član povjerenstva)
Committee memberDavid Bojanić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu u detalje su opisani generativni suparnički modeli. Njihova arhitektura te način učenja za generiranje realističnih sintetičkih slika. U sklopu rada napravljena je implementacija generativnih suparničkih modela za generiranje realističnih sintetičkih slika nad dva skupa za učenje: MNIST i CIFAR10. Nakon toga opisani su i prikazani dobiveni rezultati.
Abstract (english)
This paper describes in detail the generative adversarial networks. Their architecture and the way of training for generating realistic synthetic images. As part of this work, a program implementation of generative adversarial networks was made for generating realistic synthetic images on two data sets: MNIST and CIFAR10. The final part of the work describes and shows given results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:459210
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 18:34:30