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undergraduate thesis
Komunikacija između čovjeka i računala temeljena na tehnikama dubokog učenja
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:235:161431
Benc, Lucija
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Benc, L. (2022). Komunikacija između čovjeka i računala temeljena na tehnikama dubokog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:161431

Benc, Lucija. "Komunikacija između čovjeka i računala temeljena na tehnikama dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:161431

Benc, Lucija. "Komunikacija između čovjeka i računala temeljena na tehnikama dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:161431

Benc, L. (2022). 'Komunikacija između čovjeka i računala temeljena na tehnikama dubokog učenja', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:161431

Benc L. Komunikacija između čovjeka i računala temeljena na tehnikama dubokog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:235:161431

L. Benc, "Komunikacija između čovjeka i računala temeljena na tehnikama dubokog učenja", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:235:161431

Metadata
TitleKomunikacija između čovjeka i računala temeljena na tehnikama dubokog učenja
Title (english)Human-computer communication based on deep learning techniques
AuthorLucija Benc
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2022-03-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Tema ovog rada je razvitak programske podrške za komunikaciju čovjeka i računala. Razvijena programska podrška temelji se na korištenju programskog jezika Python. U programskom jeziku izrađen je model neuronske mreže i povezan s tehnikom obrade prirodnog jezika (engl. NLP – Natural Language Processing) pomoću biblioteka. U prvom dijelu rada objašnjena je teorijska osnova za razumijevanje razvoja programa, a u drugom dijelu primjenom strojnog učenja i neuronskih mreža razvijen računalni program za razgovor čovjeka i računala. Na kraju rada prikazana je analiza rada u laboratorijskim uvjetima.
Abstract (english)
The topic of this paper is the development of the software for human-computer communication. The developed software is based on using programming language Python. Neural network is connected to Natural Language Processing by using programming language and libraries. The theory behind software development is explained in the first part of this paper and computer programm for human-computer communication based on application of machine learning and neural networks is explained in the second part of this paper. Finally, results analysis is shown in laboratory conditions.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:161431
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) icon
Created on2022-02-25 05:53:25