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master's thesis
Izlučivanje slikovnih reprezentacija generativnim suparničkim modelima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:662749
Zelić, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Zelić, F. (2018). Izlučivanje slikovnih reprezentacija generativnim suparničkim modelima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:662749

Zelić, Filip. "Izlučivanje slikovnih reprezentacija generativnim suparničkim modelima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:662749

Zelić, Filip. "Izlučivanje slikovnih reprezentacija generativnim suparničkim modelima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:662749

Zelić, F. (2018). 'Izlučivanje slikovnih reprezentacija generativnim suparničkim modelima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:662749

Zelić F. Izlučivanje slikovnih reprezentacija generativnim suparničkim modelima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:662749

F. Zelić, "Izlučivanje slikovnih reprezentacija generativnim suparničkim modelima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:662749

Metadata
TitleIzlučivanje slikovnih reprezentacija generativnim suparničkim modelima
Title (english)Extracting image representations with generative adversarial models
AuthorFilip Zelić
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-02-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Nenadzirano učenje je vrlo zanimljivo područje jer omogućuje iskoristiti velike količine dostupnih neoznačenih podataka. U radu se bavimo generativnim suparničkim modelima koji omogućuju generiranje slika iz distribucije podatke te izvlačenje slikovnih reprezentacija. Opisane su duboke neuronske mreže s fokusom na konvolucijske mreže. Detaljno je prikazano nekoliko tipova generativnih suparničkih modela i njihove konfiguracije. Implementirani su duboki generativni suparnički model i dvije inačice Wassersteinovog modela u Pytorch razvojnom okviru. Modeli se evaluirani na tri različita podatkovna skupa MNIST, Fashion-MNIST i CIFAR-10. Na kraju su prikazani dobiveni rezultati, s opisima i slikama.
Abstract (english)
Unsupervised learning is a very interesting area because it allows one to take advantage of large volumes of unlabeled data. This paper deals with generative adversarial networks that enable generation of images from given data distribution and feature extraction. Deep neural networks are described with emphasis on convolutional networks. Several types of generative adversarial networks are shown with their configuration. A deep convolutional adversarial model and two versions of Wasserstein model are implemented using the Pytorch library. Models were evaluated on three different sets of data MNIST, Fashion-MNIST and CIFAR-10. Finally, we present results with description and images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:662749
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-14 02:18:29