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undergraduate thesis
Utjecaj hiperparametara na rad modela dubokog učenja
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. urn:nbn:hr:235:369052
Sever, Mislav
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Sever, M. (2023). Utjecaj hiperparametara na rad modela dubokog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:369052

Sever, Mislav. "Utjecaj hiperparametara na rad modela dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:369052

Sever, Mislav. "Utjecaj hiperparametara na rad modela dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:369052

Sever, M. (2023). 'Utjecaj hiperparametara na rad modela dubokog učenja', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:369052

Sever M. Utjecaj hiperparametara na rad modela dubokog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2023 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:235:369052

M. Sever, "Utjecaj hiperparametara na rad modela dubokog učenja", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:235:369052

Metadata
TitleUtjecaj hiperparametara na rad modela dubokog učenja
Title (english)The influence of hyperparameters on the performance of deep learning models
AuthorMislav Sever
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2023-03-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Tema ovog rada je utjecaj hiperparametara na rad modela dubokog učenja. Hiperparametri predstavljaju parametre koji kontroliraju proces učenja. Kao model dubokog učenja odabrana je duboka konvolucijska neuronska mreža koja predstavlja temelj algoritama računalnog vida. Rad se sastoji od teorijskog i praktičnog dijela. U sklopu teorijskog dijela iznesena je sva teorija potrebna za razumijevanje utjecaja pojedinih hiperparametara na rad modela dubokog učenja. Praktični dio rada sastoji se od izrade modela duboke konvolucijske neuronske mreže i podešavanja njegovih hiperparametara u programskom jeziku Python.
Abstract (english)
The theme of this work is the influence of hyperparameters on the performance of the deep learning models. Hyperparameters represent parameters that control the learning process. A deep convolution neural network is selected as a deep learning model that forms the basis of computer vision algorithms. The work consists of a theoretical and practical part. The theoretical part sets out all the theories necessary to understand the influence of individual hyperparameters on the performance of the deep learning models. The practical part of the work consists of developing a model of a deep convolution neural network and setting up its hyperparameters in the Python programming language.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:369052
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) icon
Created on2023-02-22 11:20:30