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master's thesis
Grafičko korisničko sučelje za rad s umjetnim neuronskim mrežama
2018. urn:nbn:hr:168:243284
Čular, Jure
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Čular, J. (2018). Grafičko korisničko sučelje za rad s umjetnim neuronskim mrežama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:243284

Čular, Jure. "Grafičko korisničko sučelje za rad s umjetnim neuronskim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:243284

Čular, Jure. "Grafičko korisničko sučelje za rad s umjetnim neuronskim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:243284

Čular, J. (2018). 'Grafičko korisničko sučelje za rad s umjetnim neuronskim mrežama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:243284

Čular J. Grafičko korisničko sučelje za rad s umjetnim neuronskim mrežama [Master's 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:168:243284

J. Čular, "Grafičko korisničko sučelje za rad s umjetnim neuronskim mrežama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:243284

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Metadata
TitleGrafičko korisničko sučelje za rad s umjetnim neuronskim mrežama
Title (english)Graphical User Interface for Artificial Neural Networks
AuthorJure Čular
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberŽeljka Mihajlović (član povjerenstva)
Committee memberAlan Jović (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
U radu je opisan sustav za izgradnju umjetnih neuronskih mreža kroz grafičko sučelje. Opisana je implementacija samog sustava i podržane značajke te su navedeni nedostatci sustava. Sustav pruža korisnicima jednostavan način izgradnje umjetnih neuronskih mreža tako da grafički slažu i spajaju pojedine slojeve. Nakon izgradnje neuronske mreže korisnici mogu generirati Python skriptu koja izgradi neuronsku mrežu koristeći gotovu biblioteku. Uz izgradnju neuronske mreže korisnici ju mogu učiti i pratiti napredak kroz grafove.
Abstract (english)
The thesis describes a system for building artificial neural networks using a graphical user interface. A detailed description of the system's implementation is provided, along with the system's features and its shortcomings. This system allows users to simply build artificial neural networks using drag&drop actions and connecting layers. When a model is built, the user can generate a Python script that will build the resulting artificial neural network using a provided library. Besides building models, users can train them and observe their progress through various charts provided by the system.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:243284
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
Access conditionsClosed access
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Created on2019-03-19 13:38:02