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undergraduate thesis
Baze podataka slika za detekciju lica na slikama
2019. urn:nbn:hr:168:974339
Jaić, Mihael
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Jaić, M. (2019). Baze podataka slika za detekciju lica na slikama (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:974339

Jaić, Mihael. "Baze podataka slika za detekciju lica na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:974339

Jaić, Mihael. "Baze podataka slika za detekciju lica na slikama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:974339

Jaić, M. (2019). 'Baze podataka slika za detekciju lica na slikama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 January 2021, https://urn.nsk.hr/urn:nbn:hr:168:974339

Jaić M. Baze podataka slika za detekciju lica na slikama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2021 January 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:974339

M. Jaić, "Baze podataka slika za detekciju lica na slikama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:974339

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Metadata
TitleBaze podataka slika za detekciju lica na slikama
Title (english)Image datasets for face detection
AuthorMihael Jaić
MentorTomislav Pribanić (mentor)
Committee memberTomislav Pribanić (predsjednik povjerenstva)
Committee memberTomislav Pribanić (predsjednik povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
Committee memberKristijan Bartol (član 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:168:974339
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
Access conditionsClosed access
Terms of useLicence In copyright icon
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Created on2020-01-07 18:34:30