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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/549
DC FieldValueLanguage
dc.contributor.authorDinh Cong Minhen_US
dc.date.accessioned2020-03-12T17:03:45Z-
dc.date.available2020-03-12T17:03:45Z-
dc.date.issued2014-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/549-
dc.description.abstractFrom 20th December 2013 to 4th April 2014, Kaggle held the “Galaxy Zoo, A Galaxy Challenge” competition [1], in which the competitors are asked to classify over 60000 images of galaxies into their classes. Prior to this competition, the task is done by a crowd-source project, which use human effort to manually classify the galaxy images. Now, with the data collected from the previous project, the task is to reproduce the results, which are also provided by the galaxy zoo organization. In this bachelor thesis, I will not try to build a perfect model for this task, which is outside of the scope of this thesis. I will rather try to solve a simplified task to demonstrate my knowledge in the machine learning and data science, as well as solving the task with an acceptable results. The main objectives of the project are: + Proposed a simplified version of the Galaxy Challenge + Review the fundamental theories in the field of machine learning + Implement a model which can solve the challenge with acceptable resultsen_US
dc.language.isoenen_US
dc.publisherVietnamese-German Universityen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectGalaxy challengeen_US
dc.subjectMachine learningen_US
dc.titleGalaxy images classificationen_US
dc.typeThesisen_US
item.languageiso639-1other-
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:Electrical Engineering and Information Technology (EEIT)
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