prikaz prve stranice dokumenta Razvijanje plitkih neuronskih mreža u MATLAB-u
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undergraduate thesis
Razvijanje plitkih neuronskih mreža u MATLAB-u
2021. urn:nbn:hr:155:406598
Bakoč, Paulina
University of Dubrovnik
Faculty of Electrical Engineering and Applied Computing

Cite this document

Bakoč, P. (2021). Razvijanje plitkih neuronskih mreža u MATLAB-u (Undergraduate thesis). Dubrovnik: University of Dubrovnik. Retrieved from https://urn.nsk.hr/urn:nbn:hr:155:406598

Bakoč, Paulina. "Razvijanje plitkih neuronskih mreža u MATLAB-u." Undergraduate thesis, University of Dubrovnik, 2021. https://urn.nsk.hr/urn:nbn:hr:155:406598

Bakoč, Paulina. "Razvijanje plitkih neuronskih mreža u MATLAB-u." Undergraduate thesis, University of Dubrovnik, 2021. https://urn.nsk.hr/urn:nbn:hr:155:406598

Bakoč, P. (2021). 'Razvijanje plitkih neuronskih mreža u MATLAB-u', Undergraduate thesis, University of Dubrovnik, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:155:406598

Bakoč P. Razvijanje plitkih neuronskih mreža u MATLAB-u [Undergraduate thesis]. Dubrovnik: University of Dubrovnik; 2021 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:155:406598

P. Bakoč, "Razvijanje plitkih neuronskih mreža u MATLAB-u", Undergraduate thesis, University of Dubrovnik, Dubrovnik, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:155:406598

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Metadata
TitleRazvijanje plitkih neuronskih mreža u MATLAB-u
AuthorPaulina Bakoč
MentorMartin Lazar (mentor)
Committee memberMartin Lazar (predsjednik povjerenstva)
GranterUniversity of Dubrovnik
(Faculty of Electrical Engineering and Applied Computing)
Dubrovnik
Defense date and country2021-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Područje dubokog učenja i neuronske mreže u posljednjih nekoliko godina postiže veliki napredak u mnogim granama poslovnog i privatnog života. U ovom završnom radu cilj je objasniti pojam dubokog učenja kao i što su to plitke neuronske mreže, kako se stvara neuronska mreža u MATLAB-u i procjenjuje rješenje diferencijalne jednadžbe za dane vrijednosti parametara. Rezultati rada pokazuju da je neuronska mreža vrlo dobro naučila na ulaznom skupu podataka.
Abstract (english)
The field of deep learning and neural network has made great strides in many areas of business and private life in recent years. In this final work, the aim is to explain the concept of deep learning as well as shallow neural networks. In particular, we explain how neural network is created in MATLAB and we estimate the solution of an ordinary differential equation for given parameter values. The obtained results confirm that neural networks learn very well from the input data set.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:155:406598
Study programmeTitle: Applied Computer Science / Information Management
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 conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-09-30 09:01:35