Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/102843
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dc.contributor.advisorRadeva, Petia-
dc.contributor.authorLlorente Pineda, Edgar-
dc.date.accessioned2016-10-24T09:54:47Z-
dc.date.available2016-10-24T09:54:47Z-
dc.date.issued2016-06-30-
dc.identifier.urihttp://hdl.handle.net/2445/102843-
dc.descriptionTreballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Petia Radevaca
dc.description.abstractIn this work we are going to experiment with convolutional neural networks with the objective of recognizing food related environments. Through our project we are going to analyze which sections of the images are being targeted to classify the image in one category or in other. Lastly we are going to benchmark how much the nets are learning using confusion matrices to visualize which categories are harder to classify.ca
dc.format.extent41 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoengca
dc.rightsmemòria: cc-by-nc-sa (c) Edgar Llorente Pineda, 2016-
dc.rightscodi: GPL (c) Edgar Llorente Pineda, 2016-
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/es-
dc.rights.urihttp://www.gnu.org/licenses/gpl-3.0.ca.html-
dc.subject.classificationXarxes neuronals (Informàtica)cat
dc.subject.classificationAprenentatge automàticcat
dc.subject.classificationProgramaricat
dc.subject.classificationTreballs de fi de graucat
dc.subject.classificationVisió per ordinadorca
dc.subject.classificationAlimentacióca
dc.subject.otherNeural networks (Computer science)eng
dc.subject.otherMachine learningeng
dc.subject.otherComputer softwareeng
dc.subject.otherBachelor's thesiseng
dc.subject.otherComputer visioneng
dc.subject.otherDieteng
dc.titleConvolutional neural networks for the recognition of food related environmentsca
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Enginyeria Informàtica
Programari - Treballs de l'alumnat

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