Researching of the deep neural network for amber gemstone classification

This project is based on the researching of the deep neural network for the classification of amber gemstone seen as a great opportunity to expand the range of application of the well known deep learning, which have been used more and more in different fields. First, it is explained the theoretical...

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Detalles Bibliográficos
Autor: Castro Rios, Ramiro Saito
Tipo de recurso: tesis de maestría
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/171087
Acceso en línea:https://hdl.handle.net/2117/171087
Access Level:acceso abierto
Palabra clave:Soft computing
Informàtica tova
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
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spelling Researching of the deep neural network for amber gemstone classificationCastro Rios, Ramiro SaitoSoft computingInformàtica tovaÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàticaThis project is based on the researching of the deep neural network for the classification of amber gemstone seen as a great opportunity to expand the range of application of the well known deep learning, which have been used more and more in different fields. First, it is explained the theoretical concepts about machine learning and deep learning, besides a little comparison between them in order to for the reader to make the thesis more understandable. It is also introduced the different machine learning classifiers and the different methods of deep learning which have been used during the presented work. After having the basic concepts it will be explained the different methods that have been studied throughout the thesis to find the best possible accuracy in the training, validation and testing of the data set. Finally, it will be showcased the different results obtained followed by a short explanation per each of them. In this work the main technique that will be used for the researching is the method of transfer learning. Due to the lack of huge amounts of database regarding the amber stones, this technique can be a lot profitable to achieve the best accuracy. Nevertheless other methods like training from scratch will be tested; in which it will be used YOLO (You Only Looks Once). There is plenty of developed architectures that can be used for transfer learning, but only AlexNet will be used, since is one of the most used. The main tool for performing all the training and testing is MATLAB, which is quite suitable for processing images and with the latest version now it is able to run deep neural network with ease.OutgoingUniversitat Politècnica de CatalunyaLipnickas, Arunas20182018-01-0120192019-10-29master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/171087reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1710872026-05-27T15:37:01Z
dc.title.none.fl_str_mv Researching of the deep neural network for amber gemstone classification
title Researching of the deep neural network for amber gemstone classification
spellingShingle Researching of the deep neural network for amber gemstone classification
Castro Rios, Ramiro Saito
Soft computing
Informàtica tova
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
title_short Researching of the deep neural network for amber gemstone classification
title_full Researching of the deep neural network for amber gemstone classification
title_fullStr Researching of the deep neural network for amber gemstone classification
title_full_unstemmed Researching of the deep neural network for amber gemstone classification
title_sort Researching of the deep neural network for amber gemstone classification
dc.creator.none.fl_str_mv Castro Rios, Ramiro Saito
author Castro Rios, Ramiro Saito
author_facet Castro Rios, Ramiro Saito
author_role author
dc.contributor.none.fl_str_mv Lipnickas, Arunas
dc.subject.none.fl_str_mv Soft computing
Informàtica tova
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
topic Soft computing
Informàtica tova
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
description This project is based on the researching of the deep neural network for the classification of amber gemstone seen as a great opportunity to expand the range of application of the well known deep learning, which have been used more and more in different fields. First, it is explained the theoretical concepts about machine learning and deep learning, besides a little comparison between them in order to for the reader to make the thesis more understandable. It is also introduced the different machine learning classifiers and the different methods of deep learning which have been used during the presented work. After having the basic concepts it will be explained the different methods that have been studied throughout the thesis to find the best possible accuracy in the training, validation and testing of the data set. Finally, it will be showcased the different results obtained followed by a short explanation per each of them. In this work the main technique that will be used for the researching is the method of transfer learning. Due to the lack of huge amounts of database regarding the amber stones, this technique can be a lot profitable to achieve the best accuracy. Nevertheless other methods like training from scratch will be tested; in which it will be used YOLO (You Only Looks Once). There is plenty of developed architectures that can be used for transfer learning, but only AlexNet will be used, since is one of the most used. The main tool for performing all the training and testing is MATLAB, which is quite suitable for processing images and with the latest version now it is able to run deep neural network with ease.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
2019
2019-10-29
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/171087
url https://hdl.handle.net/2117/171087
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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