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undergraduate thesis
Sustav za semantičku segmentaciju primjenom dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:584203
Vujnović, Zvonimir
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vujnović, Z. (2019). Sustav za semantičku segmentaciju primjenom dubokog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:584203

Vujnović, Zvonimir. "Sustav za semantičku segmentaciju primjenom dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:584203

Vujnović, Zvonimir. "Sustav za semantičku segmentaciju primjenom dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:584203

Vujnović, Z. (2019). 'Sustav za semantičku segmentaciju primjenom dubokog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:584203

Vujnović Z. Sustav za semantičku segmentaciju primjenom dubokog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:584203

Z. Vujnović, "Sustav za semantičku segmentaciju primjenom dubokog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:584203

Metadata
TitleSustav za semantičku segmentaciju primjenom dubokog učenja
Title (english)System for Semantic Segmentation Using Deep Learning
AuthorZvonimir Vujnović
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberMarin Oršić (član povjerenstva)
Committee memberJosip Šarić (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 su radu opisane umjetne neuronske mreže. Sve od toga kako su građene, kako svaki njihov neuron obrađuje informacije te kako to rade kao cjelina i uče po primjerima. Cilj je dubokog učenja da model mreže počinje učiti kao i čovjek, po vlastitom iskustvu. Semantička segmentacija samo je dio spektra u kojemu se primjenjuje duboko učenje. Semantička segmentacija je ujedno i veoma popularno područje računalnog vida jer pridonosi na putu prema savršenom razumijevanju slike što je danas veoma korišten dio umjetne inteligencije.
Abstract (english)
This paper describes artificial neural networks. Everything from how they are built, how each and every neuron in the network processes information and how all of the neurons do it as a whole to learn from examples. The goal of deep learning is to make a model that can learn as efficiently as a human, from its experience. Semantic Segmentation is only a part of spectrum in which deep learning is applied. Semantic Segmentation is also very popular area of computer vision because it contributes to the perfect understanding of a picture which is now widely used in artificial intelligence.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:584203
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 23:01:44