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undergraduate thesis
Učenje bez pokušaja: tehnike, pristupi i primjene
2024. urn:nbn:hr:190:632285
Ivanović, Paula
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Software Engineering

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Ivanović, P. (2024). Učenje bez pokušaja: tehnike, pristupi i primjene (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:632285

Ivanović, Paula. "Učenje bez pokušaja: tehnike, pristupi i primjene." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:632285

Ivanović, Paula. "Učenje bez pokušaja: tehnike, pristupi i primjene." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:632285

Ivanović, P. (2024). 'Učenje bez pokušaja: tehnike, pristupi i primjene', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 07 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:632285

Ivanović P. Učenje bez pokušaja: tehnike, pristupi i primjene [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2024 [cited 2024 November 07] Available at: https://urn.nsk.hr/urn:nbn:hr:190:632285

P. Ivanović, "Učenje bez pokušaja: tehnike, pristupi i primjene", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:190:632285

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Metadata
TitleUčenje bez pokušaja: tehnike, pristupi i primjene
Title (english)Zero shot learning: techniques, approaches, and applications
AuthorPaula Ivanović
MentorGoran Mauša (mentor)
Committee memberMiroslav Joler (predsjednik povjerenstva)
Committee memberGoran Mauša (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Software Engineering)
Rijeka
Defense date and country2024-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad analizira inovativnu tehniku strojnog učenja, učenje bez pokušaja. Učenje bez pokušaja omogućuje modelima prepoznavanje i klasificiranje podataka iz klasa s kojima se nikada prije nisu susreli. Ova metoda je posebno vrijedna u situacijama kada je prikupljanje označenih podataka za svaku moguću klasu nepraktično ili nemoguće. Zero-shot učenje ima široku primjenu u raznim industrijama, uključujući zdravstvo, e-trgovinu i autonomnu vožnju, brzo dobivajući na važnosti. Zbog nedavnog napretka postoji niz metoda, pristupa i tehnika koje se koriste za postizanje ove vrste učenja. Ovaj rad daje objašnjenje temeljnih koncepata zero-shot učenja, istražuje primarne metode i primjene te demonstrira izvedbu i ponašanje osnovnog zero-shot modela učenja na različitim skupovima podataka.
Abstract (english)
This thesis analyses a cutting innovative technique in machine learning. Zero Shot Learning enables models to recognize and classify data from classes they have never encountered before. This method is particularly valuable in situations where acquiring labelled data for every possible class is impractical or impossible. Zero-shot learning has broad applications across various industries, including healthcare, e-commerce, and autonomous driving, rapidly gaining importance. Because of recent advancement there are a number of methods, approaches, and techniques used to achieve this type of learning. This thesis offers a comprehensive explanation of the fundamental concepts of zero-shot learning, explores the primary methods and applications, and demonstrates the performance and behaviour of a basic zero-shot learning model on different datasets.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:190:632285
Study programmeTitle: Computer Engineering
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
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-09-13 15:50:42