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Title:
Priprava učne množice fotografij in njihova klasifikacija z uporabo globokih nevronskih mrež : diplomsko delo
Authors:
ID
Javornik, Bojan Jan
(
Author
)
ID
Podgorelec, Vili
(
Mentor
)
More about this mentor...
Files:
UN_Javornik_Bojan_Jan_2019.pdf
(3,49 MB)
MD5: A8B46AEE6DD7F52EC95D23A378A6C03E
PID:
20.500.12556/dkum/bd65faed-6e26-4700-a311-0821a5f9bb29
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Cilj diplomske naloge je preizkusiti klasifikacijo slik s pomočjo globokih nevronskih mrež. Odločili smo se za uporabo konvolucijskih nevronskih mrež, saj so najbolj razširjene na področju klasifikacije slik, učne in testno množico pa smo pripravili sami. Modele mreže smo gradili in učili v programskem jeziku Python s pomočjo knjižnice Keras. Opišemo kako smo slike pretvorili v vhode konvolucijske nevronske mreže in kakšne modele smo zgradili. Primernost modelov smo ugotavljali z navzkrižno validacijo, nato pa smo jih preizkusili še na testni množici. Vse rezultate tudi predstavimo in povemo ugotovitve.
Keywords:
globoko učenje
,
konvolucijske nevronske mreže
,
klasifikacija slik
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[B. J. Javornik]
Year of publishing:
2019
Number of pages:
VII, 37 str.
PID:
20.500.12556/DKUM-74761
UDC:
004.8:004.932(043.2)
COBISS.SI-ID:
22809878
NUK URN:
URN:SI:UM:DK:NKOU3FSH
Publication date in DKUM:
11.11.2019
Views:
1671
Downloads:
116
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:
A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.
Licensing start date:
05.09.2019
Secondary language
Language:
English
Title:
The preparation of photos' dataset and its classification using deep neural networks
Abstract:
The main goal of this thesis is the examination of image classification using deep neural networks. We have decided to build our models with convolutional neural networks, because they are the most popular algorithm for image classification. We also prepared our own train and test datasets. Models were built and trained in programming language Python with the help of Keras library. We describe how we transformed datasets into inputs of convolutional neural network and what models have we built. We tested models' adequacy using cross validation then we tested their performance on test dataset. We present our results and introduce our findings.
Keywords:
deep learning
,
convolutional neural networks
,
image classification
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