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undergraduate thesis
Predviđanje starosti korištenjem neuronskih mreža
2022. urn:nbn:hr:168:775712
Anić, Nina
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Anić, N. (2022). Predviđanje starosti korištenjem neuronskih mreža (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:775712

Anić, Nina. "Predviđanje starosti korištenjem neuronskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:775712

Anić, Nina. "Predviđanje starosti korištenjem neuronskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:775712

Anić, N. (2022). 'Predviđanje starosti korištenjem neuronskih mreža', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:775712

Anić N. Predviđanje starosti korištenjem neuronskih mreža [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2025 January 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:775712

N. Anić, "Predviđanje starosti korištenjem neuronskih mreža", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:775712

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Metadata
TitlePredviđanje starosti korištenjem neuronskih mreža
Title (english)Age Prediction using Neural Networks
AuthorNina Anić
MentorDario Bojanjac (mentor)
Committee memberDario Bojanjac (predsjednik povjerenstva)
Committee memberMarin Kačan (član povjerenstva)
Committee memberFilip Turčinović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Predviđanje starosti kompleksan je problem iz područja strojnog učenja s mnogim praktičnim primjenama. U ovom radu pomoću opisa strojnog učenja i konvolucijskih neuronskih mreža, razrade arhitekture i korištenih modela ponudili smo dva načina rješavanja zadanog problema. Za oba načina promatrali smo eksperimentalne rezultate prateći određene metrike te usporedili dobivena rješenja sa sličnim radom. Na samome kraju pokazali smo kako naš model radi na konkretnim primjerima te komentirali rezultate.
Abstract (english)
Age prediction is a complex problem in the field of machine learning with many practical applications. In this paper, using the description of machine learning and convolutional neural networks, the development of architecture and the models used, we offered two ways to solve a given problem. For both methods, we observed the experimental results following certain metrics and compared the obtained solutions with similar work. At the very end, we showed how our model works on concrete examples and commented on the results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:775712
Study programmeTitle: Computing
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
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Created on2023-01-15 09:41:06