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undergraduate thesis
Prepoznavanje emocija lica pomoću dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:988367
Filipović, Miroslav
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Filipović, M. (2017). Prepoznavanje emocija lica pomoću dubokog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:988367

Filipović, Miroslav. "Prepoznavanje emocija lica pomoću dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:988367

Filipović, Miroslav. "Prepoznavanje emocija lica pomoću dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:988367

Filipović, M. (2017). 'Prepoznavanje emocija lica pomoću dubokog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:988367

Filipović M. Prepoznavanje emocija lica pomoću dubokog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 July 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:988367

M. Filipović, "Prepoznavanje emocija lica pomoću dubokog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:988367

Metadata
TitlePrepoznavanje emocija lica pomoću dubokog učenja
Title (english)Facial Expression Recognition Using Deep Learning
AuthorMiroslav Filipović
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberGoran Delač (član povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Proučiti i opisati tehniku dubokog učenja te postojeće popularne programske okvire za duboko učenje. Istražiti i opisati postojeće metode za prepoznavanje emocija lica primjenom dubokog učenja. Programski ostvariti sustav za prepoznavanje emocija lica primjenom dubokog učenja. Prikupiti kvalitetan i reprezentativan skup podataka za vrednovanje ostvarenog sustava. Primjenom prikladno odabranih mjera za vrednovanje ispitati uspješnost ostvarenog sustava te prikazati i opisati rezultate vrednovanja.
Abstract (english)
Study and describe deep learning and currently popular framewrok for deep lear- ning. Explore and describe methods for facial expression recognition using deep lear- ning. Implement system for facial expression recognition using deep learning. Gather on quality dataset for system evaluation. Using certain evaluating rate test efficacy of implemented system and show and describe evaluating results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:988367
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 on2019-03-13 20:14:14