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undergraduate thesis
Transformer arhitektura
2023. urn:nbn:hr:126:272269
Salha, Ramal
Josip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics

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Salha, R. (2023). Transformer arhitektura (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:272269

Salha, Ramal. "Transformer arhitektura." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2023. https://urn.nsk.hr/urn:nbn:hr:126:272269

Salha, Ramal. "Transformer arhitektura." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2023. https://urn.nsk.hr/urn:nbn:hr:126:272269

Salha, R. (2023). 'Transformer arhitektura', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, accessed 03 May 2024, https://urn.nsk.hr/urn:nbn:hr:126:272269

Salha R. Transformer arhitektura [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics; 2023 [cited 2024 May 03] Available at: https://urn.nsk.hr/urn:nbn:hr:126:272269

R. Salha, "Transformer arhitektura", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:126:272269

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Metadata
TitleTransformer arhitektura
Title (english)Transformer Architecture
AuthorRamal Salha
MentorDomagoj Matijević (mentor)
GranterJosip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics
Osijek
Defense date and country2023-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
U ovom ćemo radu objasniti kako radi transformer arhitektura. Kako možemo pojedine slojeve arhitekture sami implementirati u poznatoj biblioteci za izradu neuronskih mreža PyTorch. Nakon toga pokazat ćemo kako možemo iskoristiti našu implementaciju da izgradimo prevoditelj hrvatskog na engleski jezik.
Abstract (english)
In this work, we will explain how the transformer architecture works. We will also show how we can implement individual layers of the architecture ourselves in the well-known neural network library, PyTorch. Afterward, we will demonstrate how we can use our implementation to build a translator from Croatian to English.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:272269
Study programmeTitle: Bachelor of Mathematics and Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i računarstva (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-11-06 10:21:30