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undergraduate thesis
Demonstracijski okvir za diferencijabilno programiranje
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:739472
Novak, Jakov
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Novak, J. (2024). Demonstracijski okvir za diferencijabilno programiranje (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:739472

Novak, Jakov. "Demonstracijski okvir za diferencijabilno programiranje." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:739472

Novak, Jakov. "Demonstracijski okvir za diferencijabilno programiranje." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:739472

Novak, J. (2024). 'Demonstracijski okvir za diferencijabilno programiranje', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:739472

Novak J. Demonstracijski okvir za diferencijabilno programiranje [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:739472

J. Novak, "Demonstracijski okvir za diferencijabilno programiranje", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:739472

Metadata
TitleDemonstracijski okvir za diferencijabilno programiranje
Title (english)Demonstration framework for differentiable programming
AuthorJakov Novak
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberIvan Sabolić (član povjerenstva)
Committee memberIva Sović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kako neuralne mreže postaju sve složenije i popularnije, ključno je razumjeti mehanizme koji omogućuju njihovo efikasno učenje. U ovom radu istražujemo matematičke osnove automatskog diferenciranja, što je temeljna tehnika za treniranje neuralnih mreža. Detaljno razmatramo teorijske koncepte koji stoje iza automatskog diferenciranja, uključujući derivacije i gradijente, te njihovu primjenu u optimizaciji modela strojnog učenja. Osim teorijskog pregleda, rad obuhvaća i praktičnu implementaciju jednostavnog sustava za automatsko diferenciranje. Pomoću ovog sustava demonstriramo njegovu primjenu kroz nekoliko programskih primjera. Na kraju, razvili smo klasifikator slika koristeći vlastiti sustav za automatsko diferenciranje, čime smo pokazali praktičnu korisnost i efikasnost razvijenog rješenja u stvarnim zadacima strojnog učenja.
Abstract (english)
As neural networks become increasingly complex and popular, understanding the mechanisms that enable their efficient learning is crucial. This paper explores the mathematical foundations of automatic differentiation, a fundamental technique for training neural networks. We thoroughly examine the theoretical concepts behind automatic differentiation, including derivatives and gradients, and their application in optimizing machine learning models. In addition to the theoretical overview, the paper includes a practical implementation of a simple automatic differentiation system. We demonstrate the system's application through several programming examples. Finally, we developed an image classifier using our custom automatic differentiation system, showcasing the practical utility and efficiency of the developed solution in real-world machine learning tasks.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:739472
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 on2024-10-12 21:41:21