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master's thesis
Usporedba arhitektura generativnih suparničkih mreža za pisanje kratkih tekstualnih poruka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:870513
Pešorda, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Pešorda, I. (2019). Usporedba arhitektura generativnih suparničkih mreža za pisanje kratkih tekstualnih poruka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:870513

Pešorda, Ivan. "Usporedba arhitektura generativnih suparničkih mreža za pisanje kratkih tekstualnih poruka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:870513

Pešorda, Ivan. "Usporedba arhitektura generativnih suparničkih mreža za pisanje kratkih tekstualnih poruka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:870513

Pešorda, I. (2019). 'Usporedba arhitektura generativnih suparničkih mreža za pisanje kratkih tekstualnih poruka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:870513

Pešorda I. Usporedba arhitektura generativnih suparničkih mreža za pisanje kratkih tekstualnih poruka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 June 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:870513

I. Pešorda, "Usporedba arhitektura generativnih suparničkih mreža za pisanje kratkih tekstualnih poruka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:870513

Metadata
TitleUsporedba arhitektura generativnih suparničkih mreža za pisanje kratkih tekstualnih poruka
Title (english)Comparison of Architectures of Generative Adversarial Networks for Writing Short Text Messages
AuthorIvan Pešorda
MentorTomislav Petković (mentor)
Committee memberTomislav Petković (predsjednik povjerenstva)
Committee memberDavor Petrinović (član povjerenstva)
Committee memberAna Sović Kržić (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
Ovaj rad se bavi usporedbom dvaju generativno suparničkih modela za pisanje teksta: SeqGAN i MaskGAN. Rad je prije svega usredotočen na pisanje kratkih poruka pomoću dva gore navedena modela. U uvodnom djelu je objašenjen problem pisanja kratkih poruka, navedeni su slični radovi na ovom području te je dan kratak pregled generativnih suparničkih mreža, SeqGAN mreže i MaskGAN mreže. Nadalje, u radu je objašnjena arhitektura i način ućenja modela korištenih u usporedbi. Nad naučenim modelima je provedeno ljudsko ispitivanje, BLEU metrika, Self-BLEU metrika te je izračunat broj jedinstvenih N-grama. U zaključku rada su komentirani rezultati i postupci učenja.
Abstract (english)
This thesis concerns itself with comparison of two generative adversarial networks for text generation: SeqGAN and MaskGAN. The primary focus of the thesis is generating short messages using the two aforementioned models. Generation of short messages, as well as related work and short explanation of generative adversarial networks, MaskGAN and SeqGAN, are given in the introduction. Furthermore, architecture and training procedure of the models used in comparison are explained in the paper. We performed human evaluation, BLEU metric, Self-BLEU metric and unique N-gram metric and the trained models. Analysis of the results and of the training procedures is given in conclusion.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:870513
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 on2020-01-07 21:16:34