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undergraduate thesis
Efikasna implementacija 2D konvolucija u prostornoj domeni
2018. urn:nbn:hr:168:254807
Lonza, Andrija
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Lonza, A. (2018). Efikasna implementacija 2D konvolucija u prostornoj domeni (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:254807

Lonza, Andrija. "Efikasna implementacija 2D konvolucija u prostornoj domeni." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:254807

Lonza, Andrija. "Efikasna implementacija 2D konvolucija u prostornoj domeni." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:254807

Lonza, A. (2018). 'Efikasna implementacija 2D konvolucija u prostornoj domeni', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:254807

Lonza A. Efikasna implementacija 2D konvolucija u prostornoj domeni [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:254807

A. Lonza, "Efikasna implementacija 2D konvolucija u prostornoj domeni", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:254807

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Metadata
TitleEfikasna implementacija 2D konvolucija u prostornoj domeni
Title (english)Efficient Implementation of 2D Convolutions in Spatial Domain
AuthorAndrija Lonza
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
Committee memberIvan Krešo (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad sadrži teoretsku razradu vezanu za matematički model konvolucije, terotiju vezanu za konvolucijske neuronske mreže s naglaskom na konvolucijski sloj, vrste konvolucijskih filtera, vrste konvolucije, relevantne konvolucijske algoritme. Rad sadrži implementacije naivnog algoritma, algoritma matričnog množenja, te implementaciju korištenjem biblioteke cuDNN, s naglaskom na brzine izvođenja programa. Korištena je i biblioteka OpenCV zbog prilagođenosti obradi slike.
Abstract (english)
The paper contains theoretical processing related to the mathematical model of convolution, terotia associated with convolutional neural networks with emphasis on the convolutional layer, types of convolutional filters, types of convolutions, relevant convolution algorithms. The paper includes the implementation of a naive algorithm, matrix multiplication algorithm, and deployment of the cuDNN library, with an emphasis on program execution speeds. The OpenCV library was also used for custom image processing.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:254807
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 22:21:08