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Title:Uporaba programskega paketa Firebase ML Kit za strojno učenje pri mobilnih aplikacijah : diplomsko delo
Authors:Žele, David (Author)
Verber, Domen (Mentor) More about this mentor... New window
Novak, Damijan (Co-mentor)
Files:.pdf UN_Zele_David_2020.pdf (1,37 MB)
MD5: 895B3533E4786E052E2FCAF3F3201A90
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V času, ko se strojno učenje pojavlja na vseh področjih računalništva, je veliko rešitev implementiranih znotraj te domene nastalo predvsem v panogi razvoja mobilnih aplikacij, vendar se jih zaradi hitrega razvoja občasno drži sloves nepreizkušenosti. Namen diplomskega dela je zato bil preizkusiti Firebase ML Kit v prototipni aplikaciji ter ob tem opazovati zahtevnost uporabe. Končna ugotovitev, da je Firebase ML Kit rešitev, ki nam hitro in enostavno omogoča implementacijo uporabe strojnega učenja v mobilno aplikacijo morda ne preseneča, preseneča pa dejstvo, da je programski paket zelo dobro dokumentiran in je podpora na spletu nadpovprečno dobra.
Keywords:strojno učenje, firebase ml kit, mobilne aplikacije
Year of publishing:2020
Place of performance:Maribor
Publisher:[D. Žele]
Number of pages:IX, 47 f.
Source:Maribor
UDC:621.397.7-026.26:004.451(043.2)
COBISS_ID:40918531 New window
NUK URN:URN:SI:UM:DK:FT2SIKM2
Views:157
Downloads:23
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:12.08.2020

Secondary language

Language:English
Title:Using the Firebase ML Kit for machine learning in mobile applications
Abstract:With rising trends associated with machine learning in all areas of computer science, many solutions for implementation have been created in the mobile application development industry. Still, they are renowned for not being tested enough because of rapid development in recent years. The purpose of this diploma thesis was, therefore, to examine the Firebase ML Kit in a prototype application while observing the complexity of use. The conclusion that Firebase ML Kit is a solution that quickly and easily enables us to implement the use of machine learning into a mobile application may not be surprising. It is, however, surprising that the software package has outstanding documentation, and online support is above average.
Keywords:machine learning, firebase ml kit, mobile applications


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