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master's thesis
Semantička segmentacija prirodnih scena dubokim neuronskim mrežama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:099818
Borko, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Borko, I. (2015). Semantička segmentacija prirodnih scena dubokim neuronskim mrežama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:099818

Borko, Ivan. "Semantička segmentacija prirodnih scena dubokim neuronskim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:099818

Borko, Ivan. "Semantička segmentacija prirodnih scena dubokim neuronskim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:099818

Borko, I. (2015). 'Semantička segmentacija prirodnih scena dubokim neuronskim mrežama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:099818

Borko I. Semantička segmentacija prirodnih scena dubokim neuronskim mrežama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 July 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:099818

I. Borko, "Semantička segmentacija prirodnih scena dubokim neuronskim mrežama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:099818

Metadata
TitleSemantička segmentacija prirodnih scena dubokim neuronskim mrežama
Title (english)Semantic segmentation of natural scenes with deep neural networks
AuthorIvan Borko
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
Committee memberJan Šnajder (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisane su duboke neuronske mreže, s posebnim naglaskom na konvolucijske neuronske mreže. Detaljno su obrađene metode i postupci koji se koriste kod učenja konvolucijskih neuronskih mreža. Implementirana je konvolucijska mreža za semantičku segmentaciju u Theano radnoj okolini i isprobana na dva skupa podataka: Stanford Background skupu podatka koji za ulaz ima RGB slike i na KITTI skupu podataka koji na ulazu ima RGB-D slike. Na kraju su prikazani dobiveni rezultati, s opisima i slikama.
Abstract (english)
This work describes deep neural networks, with emphasis on convolutional neural networks. Gradient methods and learning algorithms used for neural networks lear- ning are shown. Convolutional network for semantic segmentation problems is built using Theano framework and it’s performance is evaluated on two datasets: Stanford Background dataset, consisting of only RGB images and KITTI dataset, consisting of RGB-D images. Following that, numerical results are presented, together with des- criptions and images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:099818
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 on2018-02-06 07:57:48