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master's thesis
Implementacija dubokog učenja na modelu konvolucijske mreže
2018. urn:nbn:hr:155:633980
Merčep, Ivan
University of Dubrovnik
Faculty of Electrical Engineering and Applied Computing

Cite this document

Merčep, I. (2018). Implementacija dubokog učenja na modelu konvolucijske mreže (Master's thesis). Dubrovnik: University of Dubrovnik. Retrieved from https://urn.nsk.hr/urn:nbn:hr:155:633980

Merčep, Ivan. "Implementacija dubokog učenja na modelu konvolucijske mreže." Master's thesis, University of Dubrovnik, 2018. https://urn.nsk.hr/urn:nbn:hr:155:633980

Merčep, Ivan. "Implementacija dubokog učenja na modelu konvolucijske mreže." Master's thesis, University of Dubrovnik, 2018. https://urn.nsk.hr/urn:nbn:hr:155:633980

Merčep, I. (2018). 'Implementacija dubokog učenja na modelu konvolucijske mreže', Master's thesis, University of Dubrovnik, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:155:633980

Merčep I. Implementacija dubokog učenja na modelu konvolucijske mreže [Master's thesis]. Dubrovnik: University of Dubrovnik; 2018 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:155:633980

I. Merčep, "Implementacija dubokog učenja na modelu konvolucijske mreže", Master's thesis, University of Dubrovnik, Dubrovnik, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:155:633980

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Metadata
TitleImplementacija dubokog učenja na modelu konvolucijske mreže
Title (english)The Implementation of Deep Learning on Convolutional Neural Network Model
AuthorIvan Merčep
MentorVedran Batoš (mentor)
MentorIvona Zakarija (mentor)
Committee memberIvan Grbavac (predsjednik povjerenstva)
Committee memberIvona Zakarija (član povjerenstva)
Committee memberVedran Batoš (član povjerenstva)
GranterUniversity of Dubrovnik
(Faculty of Electrical Engineering and Applied Computing)
Dubrovnik
Defense date and country2018-05-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
U ovom radu opisat će se osnovna načela i koncepti dubokog učenja, svojstva, karakteristike konvolucijskih neuronskih mreža i tehnologije u primjeni. Kao primjer implementacije koristit će se Single Shot multibox Detector, skraćeno SSD, duboka konvolucijska neuronska mreža za prepoznavanje objekata implementirana u TensorFlow radnom okviru.
Abstract (english)
This paper will describe the underlying principles and concepts of deep learning, properties, characteristics of convolutional neural networks and technologies in application. The implementation example will be the Single Shot multibox Detector, abbreviated SSD, a deep convolutional neural network for object recognition implemented in the TensorFlow framework.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:155:633980
Study programmeTitle: Business 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 conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-06-07 10:28:15