magistrsko delo
Robert Ftičar (Author), Gregor Donaj (Mentor)

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;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [R. Ftičar]
UDC: 004.85:004.932(043.2)
COBISS: 221210371 Link will open in a new window
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Downloads: 5
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Other data

Secondary language: English
Secondary title: Simple gesture recognition with neural networks
Secondary 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.
Secondary keywords: machine learning;pattern recognition;neural networks;sign language;master's theses;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Telekomunikacije
Pages: 1 spletni vir (1 datoteka PDF (X, 63 f.))
ID: 25287247