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undergraduate thesis
Strojno učenje u Python okruženju
2022. urn:nbn:hr:179:923153
Čelan, Dea
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

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Čelan, D. (2022). Strojno učenje u Python okruženju (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:923153

Čelan, Dea. "Strojno učenje u Python okruženju." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:923153

Čelan, Dea. "Strojno učenje u Python okruženju." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:923153

Čelan, D. (2022). 'Strojno učenje u Python okruženju', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 23 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:923153

Čelan D. Strojno učenje u Python okruženju [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 April 23] Available at: https://urn.nsk.hr/urn:nbn:hr:179:923153

D. Čelan, "Strojno učenje u Python okruženju", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:923153

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Metadata
TitleStrojno učenje u Python okruženju
Title (english)Machine Learning in Python Environment
AuthorDea Čelan
MentorJosip Vasilj (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Split
Defense date and country2022-09-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu je opisano korištenje TensorFlowa i Kerasa u izradi modela za duboko učenje. Rješavali smo problem klasifikacije slika iz CIFAR-10 skupa podataka. Za rješavanje problema korištena je TensorFlow duboka neuronska mreža te je objašnjena njena arhitekura i funkcionalnosti. Prikazane su sve faze učenja koje su potrebne za stvoriti dobar model, počevši od analize ulaznih podataka preko izrade i učenja modela te na kraju testiranje i analiza rezultata
Abstract (english)
This thesis describes the use of TensorFlow and Keras in development of deep learning models. The paper solves the problem of image classification on CIFAR-10 dataset. The TensorFlow deep neural network is used to solve the problem, and its arhitecture is thoroughly explained as well as functionality. All phases of learning that are necessary to create a good model are presented, starting with the analysis of input dana, through the design and learning process of the model, and at the end, the testing phase and analysis of the results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:923153
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
Access conditionsAccess restricted to authenticated users
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Created on2023-03-24 08:11:20