prikaz prve stranice dokumenta Prijenosno učenje neuronske mreže ResNet za prepoznavanje pasmine pasa
No public access
undergraduate thesis
Prijenosno učenje neuronske mreže ResNet za prepoznavanje pasmine pasa
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:059400
Kikerec, Ana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kikerec, A. (2019). Prijenosno učenje neuronske mreže ResNet za prepoznavanje pasmine pasa (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:059400

Kikerec, Ana. "Prijenosno učenje neuronske mreže ResNet za prepoznavanje pasmine pasa." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:059400

Kikerec, Ana. "Prijenosno učenje neuronske mreže ResNet za prepoznavanje pasmine pasa." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:059400

Kikerec, A. (2019). 'Prijenosno učenje neuronske mreže ResNet za prepoznavanje pasmine pasa', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:059400

Kikerec A. Prijenosno učenje neuronske mreže ResNet za prepoznavanje pasmine pasa [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 November 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:059400

A. Kikerec, "Prijenosno učenje neuronske mreže ResNet za prepoznavanje pasmine pasa", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:059400

Metadata
TitlePrijenosno učenje neuronske mreže ResNet za prepoznavanje pasmine pasa
Title (english)Transfer Learning of a ResNet Neural Network to Recognize Dog Breed
AuthorAna Kikerec
MentorTomislav Petković (mentor)
Committee memberTomislav Petković (predsjednik povjerenstva)
Committee memberMatea Đonlić (član povjerenstva)
Committee memberKristijan Bartol (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je korištenje ResNet (Residual Network) neuronske mreže u svrhu raspoznavanja pasmine pasa. Koristi se baza slika Stanford Dogs Dataset, koja se sastoji od oko 20 000 slika pasa, podijeljenih u 120 vrsta. U radu najprije su opisane bitne značajke konvolucijskih mreža s fokusom na ResNet50 te su opisani alati korišteni za treniranje mreže. Praktični dio rada uključuje pripremu baze slika pasa, programsku implementaciju mreže, te učenje i testiranje mreže. U konačnici, evaluirani su rezultati učenja i uspješnost mreže.
Abstract (english)
The aim of this thesis is to use ResNet (Residual Network) neural network for the purpose of classifying dog breeds. The Stanford Dogs Dataset, which consists of around 20,000 dog images, is divided into 120 breeds. The essential features of convolutional neural networks are described, with the focus on ResNet50 and the tools used to train the network. The practical part of the work involves the preparation of a dog image database, the network deployment and ultimately the learning and testing of the network. Finally, learning outcomes and the effectiveness of the network were evaluated.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:059400
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 conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2020-01-07 19:05:07