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undergraduate thesis
Prepoznavanje rukom pisanih brojeva primjenom neuronskih mreža
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:981465
Marinović, Roko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Marinović, R. (2019). Prepoznavanje rukom pisanih brojeva primjenom neuronskih mreža (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:981465

Marinović, Roko. "Prepoznavanje rukom pisanih brojeva primjenom neuronskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:981465

Marinović, Roko. "Prepoznavanje rukom pisanih brojeva primjenom neuronskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:981465

Marinović, R. (2019). 'Prepoznavanje rukom pisanih brojeva primjenom neuronskih mreža', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:981465

Marinović R. Prepoznavanje rukom pisanih brojeva primjenom neuronskih mreža [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:981465

R. Marinović, "Prepoznavanje rukom pisanih brojeva primjenom neuronskih mreža", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:981465

Metadata
TitlePrepoznavanje rukom pisanih brojeva primjenom neuronskih mreža
Title (english)Recognition of Handwritten Digits Using Neural Networks
AuthorRoko Marinović
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
Committee memberPetar Afrić (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
U ovom radu je prikazana i objašnjena tehnologija dubokih unaprijednih neuronskih mreža sa fokusom na konvolucijske neuronske mreže. Izrađena je konvolucijska neuronska mreža za više-klasnu klasifikaciju u programskom jeziku Python koristeći Keras biblioteku. Izrađena konvolucijska neuronska mreža je potom trenirana i testirana na skupu rukom pisanih brojeva MNIST. Na kraju rada dan je detaljan opis dobivenih rezultata.
Abstract (english)
This work presents and explains the technology of deep feedforward neural networks with a focus on convolutional neural networks. A convolutional neural network of multi-class classification in the Python programming language was developed using the Keras library. The constructed convolutional neural network was then trained and tested on a set of handwritten MNIST numbers. At the end of the work, there is a detailed description of the results obtained.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:981465
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
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Created on2020-01-07 20:02:31