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master's thesis
Usporedba arhitektura umjetnih neuronskih mreža
2019. urn:nbn:hr:166:359206
Šabić, Josip
University of Split
Faculty of Science
Department of Informatics

Cite this document

Šabić, J. (2019). Usporedba arhitektura umjetnih neuronskih mreža (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:359206

Šabić, Josip. "Usporedba arhitektura umjetnih neuronskih mreža." Master's thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:359206

Šabić, Josip. "Usporedba arhitektura umjetnih neuronskih mreža." Master's thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:359206

Šabić, J. (2019). 'Usporedba arhitektura umjetnih neuronskih mreža', Master's thesis, University of Split, Faculty of Science, accessed 23 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:359206

Šabić J. Usporedba arhitektura umjetnih neuronskih mreža [Master's thesis]. Split: University of Split, Faculty of Science; 2019 [cited 2024 April 23] Available at: https://urn.nsk.hr/urn:nbn:hr:166:359206

J. Šabić, "Usporedba arhitektura umjetnih neuronskih mreža", Master's thesis, University of Split, Faculty of Science, Split, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:166:359206

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Metadata
TitleUsporedba arhitektura umjetnih neuronskih mreža
Title (english)Comparison of artificial neural network architectures
AuthorJosip Šabić
MentorSaša Mladenović (mentor)
MentorGoran Zaharija (pomoć pri izradi, neposredni voditelj)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberGoran Zaharija (član povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2019-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad opisuje pojam umjetne neuronske mreže i arhitekture neuronske mreže. Umjetne neuronske mreže su realizirane koristeći programski jezik Python. Usporedbe arhitektura razmatranih neuronskih mreža napravljene su pomoću analize treniranja i predviđanja nad različitim klasama problema tipičnim za područje primjene neuronskih mreža.
Abstract (english)
This thesis describes the term artificial neural network and artificial neural network architecture. Artificial neural networks are implemented using programing language Python. Comparison of neural network architectures is made by analyzing training and predictions of given architectures on different classes of problems that are typical for area of application of neural networks.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:359206
Study programmeTitle: Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-11-25 08:59:20