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master's thesis
Primjena neuronskih mreža u obradi slika
Zagreb: University of Zagreb, Faculty of Science, 2018. urn:nbn:hr:217:127571
Levanić, Tomislav
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Levanić, T. (2018). Primjena neuronskih mreža u obradi slika (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:127571

Levanić, Tomislav. "Primjena neuronskih mreža u obradi slika." Master's thesis, University of Zagreb, Faculty of Science, 2018. https://urn.nsk.hr/urn:nbn:hr:217:127571

Levanić, Tomislav. "Primjena neuronskih mreža u obradi slika." Master's thesis, University of Zagreb, Faculty of Science, 2018. https://urn.nsk.hr/urn:nbn:hr:217:127571

Levanić, T. (2018). 'Primjena neuronskih mreža u obradi slika', Master's thesis, University of Zagreb, Faculty of Science, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:217:127571

Levanić T. Primjena neuronskih mreža u obradi slika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2018 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:217:127571

T. Levanić, "Primjena neuronskih mreža u obradi slika", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:217:127571

Metadata
TitlePrimjena neuronskih mreža u obradi slika
AuthorTomislav Levanić
MentorSaša Singer (mentor)
Committee memberSaša Singer (predsjednik povjerenstva)
Committee memberTina Bosner (član povjerenstva)
Committee memberVedran Čačić (član povjerenstva)
Committee memberJosip Tambača (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2018-03-02, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Konvolucijske neuronske mreže (CNN) predstavljaju popularan model neuronskih mreža, izrazito pogodan za obradu slika. U današnje vrijeme, gotovo sve state-of-the-art mreže za obradu slika baziraju se na ovoj arhitekturi. Prvi dio ovoga rada definira i proučava matematički model konvolucijskih neuronskih mreža. Preciznije, definiraju se slojevi potrebni za konvolucijski model te algoritam propagiranja unazad. U drugome dijelu daje se primjena te implementacija konvolucijskog modela mreže u obliku programa za klasifikaciju slika. Implementacija je izvedena unutar programskog jezika Python te se bazira na modulu tensorflow.
Abstract (english)
Convolutional neural networks (CNN) represent a popular neural network model, extremely suitable for image processing. At present time, almost every state-of-theart neural network for image processing is based on this architecture. The first part of this thesis defines and researches a mathematical model of convolutional neural networks. More precisely, we define various layers used inside a convolutional model and the backpropagation algorithm. The second part deals with CNN implementation and application for image based classification. The programming language Python and its module tensorflow are used for the implementation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:127571
Study programmeTitle: Computer Science and Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra računarstva i matematike (magistar/magistra računarstva i matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2018-09-04 11:45:46