prikaz prve stranice dokumenta Duboka konvolucijska arhitektura EfficientNetV2
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undergraduate thesis
Duboka konvolucijska arhitektura EfficientNetV2
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:968729
Frankola, Karlo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Frankola, K. (2022). Duboka konvolucijska arhitektura EfficientNetV2 (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:968729

Frankola, Karlo. "Duboka konvolucijska arhitektura EfficientNetV2." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:968729

Frankola, Karlo. "Duboka konvolucijska arhitektura EfficientNetV2." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:968729

Frankola, K. (2022). 'Duboka konvolucijska arhitektura EfficientNetV2', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:968729

Frankola K. Duboka konvolucijska arhitektura EfficientNetV2 [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 August 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:968729

K. Frankola, "Duboka konvolucijska arhitektura EfficientNetV2", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:968729

Metadata
TitleDuboka konvolucijska arhitektura EfficientNetV2
Title (english)Deep convolutional architecture EfficientNetV2
AuthorKarlo Frankola
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberMatej Grcić (član povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Klasifikacija slika važan je problem u računalnom vidu s mnogim zanimljivim primjenama. Trenutno stanje tehnike koristi duboke konvolucijske mreže. Velika računalna složenost tih modela dovodi do problema u treniranju i kasnijoj evaluaciji. To je dovelo da se posebno traže konvolucijske arhitekture koje kroz puno manji broj parametara svejedno mogu ostvariti komparabilnu točnost. U okviru rada odabran je okvir za automatsku diferencijaciju te biblioteke za rad s tenzorima i slikama. Ukratko je opisana teorijska podloga strojnog i dubokog učenja te neke klasične konvolucijske arhitekture. Istražene su efikasne arhitekture EfficientNet i EfficientNetV2 te uspoređeni njihovi rezultati s rezidualnim mrežama.
Abstract (english)
Image classification is an important problem in computer vision with many interesting applications. Current state of the art techniques use deep convolutional networks. The large computational complexity of such models leads to problems in training and later evaluation of them. This lead to a special search for convolutional architectures that even with significantly less parameters are able to achieve comparable accuracy. In this paper, an automatic differentiation framework was chosen, and libraries for working with tensors and images. The theoretical basis for machine and deep learning was introduced and some classic convolutional architectures were explained. Efficient architectures of EfficientNet and EfficientNetV2 were researched and their results were compared to residual networks.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:968729
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 on2023-01-15 10:08:31