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undergraduate thesis
Korištenje TensorFlow.js biblioteke
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:179:584537
Guteša, Adriana
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Guteša, A. (2022). Korištenje TensorFlow.js biblioteke (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:584537

Guteša, Adriana. "Korištenje TensorFlow.js biblioteke." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:584537

Guteša, Adriana. "Korištenje TensorFlow.js biblioteke." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:584537

Guteša, A. (2022). 'Korištenje TensorFlow.js biblioteke', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 01 January 2025, https://urn.nsk.hr/urn:nbn:hr:179:584537

Guteša A. Korištenje TensorFlow.js biblioteke [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2025 January 01] Available at: https://urn.nsk.hr/urn:nbn:hr:179:584537

A. Guteša, "Korištenje TensorFlow.js biblioteke", 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:179:584537

Metadata
TitleKorištenje TensorFlow.js biblioteke
Title (english)Using TensorFlow.js library
AuthorAdriana Guteša
MentorMaja Štula https://orcid.org/0000-0003-3954-7049 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad opisuje korištenje TensorFlow.js biblioteke. Navedene su osnove i tipovi strojnog učenja te su ukratko opisane neuronske mreže. Pružen je uvid u glavna svojstva, značajke i arhitekturu biblioteke kao i različiti načini instalacije, te su opisani tenzori i rad s njima. Također je prikazan model klasifikacije objekata koji je napravljen pomoću MobileNeta.
Abstract (english)
This paper describes the use of TensorFlow.js library. The fundamentals and types of machine learning are discussed, and neural networks are briefly described. An insight into main properties, features, and architecture of the library as well as different methods of installation is given, along with tensors and how to interact with them. An object classification model, that is created using MobileNet, is also showed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:584537
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
Terms of useLicence In copyright icon
Created on2023-05-05 11:26:41