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master's thesis
Primjena metoda objašnjivosti nad konvolucijskim neuronskim mrežama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:730550
Walker, Luke Frederick
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Walker, L. F. (2022). Primjena metoda objašnjivosti nad konvolucijskim neuronskim mrežama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:730550

Walker, Luke Frederick. "Primjena metoda objašnjivosti nad konvolucijskim neuronskim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:730550

Walker, Luke Frederick. "Primjena metoda objašnjivosti nad konvolucijskim neuronskim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:730550

Walker, L. F. (2022). 'Primjena metoda objašnjivosti nad konvolucijskim neuronskim mrežama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:730550

Walker LF. Primjena metoda objašnjivosti nad konvolucijskim neuronskim mrežama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 July 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:730550

L. F. Walker, "Primjena metoda objašnjivosti nad konvolucijskim neuronskim mrežama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:730550

Metadata
TitlePrimjena metoda objašnjivosti nad konvolucijskim neuronskim mrežama
Title (english)Applying Explanatory Methods on Convolutional Neural Networks
AuthorLuke Frederick Walker
MentorDamir Pintar (mentor)
Committee memberDamir Pintar (predsjednik povjerenstva)
Committee memberMihaela Vranić (član povjerenstva)
Committee memberAna Šarčević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Konvolucijske neuronske mreže su poznate po njihovim nevjerojatnim postignućima u području računalnog vida, ali kao modeli crne kutije pate od manjka transparentnosti. Postoje metode objašnjivosti koji pokušavaju dati uvide u metodologiju koju mreže koriste kada stvaraju zaključke. Ove metode su veoma subjektivne, i ne postoji objektivni, opće prihvačeni način za mjerenje njihove korisnosti. Metode su detaljno objašnjene, s opisima o napretku koji su ostvarili kroz vrijeme. Metode su zatim korištene i uspoređene na raznim skupinama podataka, s naglaskom na njihovu primjenjivost, pronicljivost, i lakoću korištenja.
Abstract (english)
Convolutional neural networks are known for being capable of increadible feats in computer vision, but as a black box model they suffer from a lack of transparency. There are explanatory methods that attempt to give insights into the inference methodology of these networks. These methods are highly subjective in nature, and there is no objective, universally agreed way to measure their usefulness. These methods are described in detail, with descriptions on the progress that has been made on their improvement over time. The methods are then used and compared on various datasets, with attention given to their applicability, insightfulness, and ease of use.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:730550
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 on2023-01-14 10:17:07