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DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
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Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
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Title:
Razpoznavanje preprostih gest z nevronskimi mrežami
Authors:
ID
Ftičar, Robert
(
Author
)
ID
Donaj, Gregor
(
Mentor
)
More about this mentor...
Files:
MAG_Fticar_Robert_2024.pdf
(3,15 MB)
MD5: 3901EB5F96873D49697041CD33AF3E35
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V prvem delu magistrske naloge je teoretični opis strojnega učenja ter znakovnega jezika. V praktičnem delu magistrske naloge je opisan postopek implementacije strojnega učenja konvolucijske nevronske mreže za razpoznavanje gest ameriškega znakovnega jezika.
Keywords:
strojno učenje
,
razpoznavanje vzorcev
,
nevronske mreže
,
geste
Place of publishing:
Maribor
Publisher:
[R. Ftičar]
Year of publishing:
2024
PID:
20.500.12556/DKUM-90972
UDC:
004.85:004.932(043.2)
COBISS.SI-ID:
221210371
Publication date in DKUM:
23.12.2024
Views:
151
Downloads:
54
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:
http://creativecommons.org/licenses/by-sa/4.0/
Description:
This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
Licensing start date:
14.10.2024
Secondary language
Language:
English
Title:
Simple gesture recognition with neural networks
Abstract:
In the first part of the thesis we describe the theoretical definitions of machine learning and sign language. In the practical part of the thesis we describe the process of implementing a convolutional neural network for the recognition of American Sign Language gestures.
Keywords:
machine learning
,
pattern recognition
,
neural networks
,
sign language
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