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dc.contributor.advisorHoare, Terryen
dc.contributor.authorIsac, Renji
dc.date.accessioned2019-05-13T15:44:21Z
dc.date.available2019-05-13T15:44:21Z
dc.date.issued2019
dc.identifier.citationIsac, R. (2019). A study on identification of dog breeds through multi-class classification using Deep Learning techniques. Masters Thesis, Dublin Business School.en
dc.identifier.urihttps://esource.dbs.ie/handle/10788/3720
dc.description.abstractImage classification, a discipline which over the years has made tremendous advancements with new and improved techniques continuously being implemented to improve the accuracy. With an enormous amount of effort being put into the field, multiclass classification has proven to be particularly challenging. Hence, in the present study the researcher focuses on achieving multiclass classification on dog breed identification using state of the art deep learning techniques. Having previously collaborated with NGO’s that managed dog adoptions, the researcher saw first-hand how wrongful breed classification affected the lives of these feeble beings by keeping them from getting the home they deserved. This in turn helped the researcher realize the urgency of such an identification system. Moreover, the researcher also focuses on a comparative study between deep learning and support vector machines which has proven to be particularly effective in binary classification. The results observed during the research inferred that ‘multiclass classification’ posed a problem even for deep learning however from the results observed from the comparative study, there was some light shed on how these problems could be tackled in the future. The results are presented.en
dc.language.isoenen
dc.publisherDublin Business Schoolen
dc.rightsItems in eSource are protected by copyright. Previously published items are made available in accordance with the copyright policy of the publisher/copyright holder.en
dc.rights.urihttp://esource.dbs.ie/copyrighten
dc.subjectDeep Learningen
dc.subjectMachine learningen
dc.titleA study on identification of dog breeds through multi-class classification using Deep Learning techniquesen
dc.typeThesisen
dc.rights.holderCopyright: The authoren
dc.type.degreenameMSc in Data Analyticsen
dc.type.degreelevelMScen


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