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dc.contributor.advisorEskridge, Thomas
dc.contributor.authorKaushal, Daljeet Kaur
dc.date.accessioned2018-08-13T13:50:34Z
dc.date.available2018-08-13T13:50:34Z
dc.date.created2018-07
dc.date.issued2018-07
dc.date.submittedJuly 2018
dc.identifier.urihttp://hdl.handle.net/11141/2542
dc.descriptionThesis (M.S.) - Florida Institute of Technology, 2018en_US
dc.description.abstractThis thesis describes a development environment that integrates big data architectures and deep learning models to facilitate rapid experimentation. The thesis makes three major contributions: First, it describes a big-data architecture that supports big data collection and organization supporting deep learning models. Second, it describes a language used to create a data view that converts the various big data streams into a view that can be used by a deep learning system. Third, it demonstrates the system’s effectiveness by applying the tool to several different deep learning applications.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleA Development Environment to Integrate Big Data with Deep Learningen_US
dc.typeThesisen_US
dc.date.updated2018-08-13T13:46:39Z
thesis.degree.nameMaster of Science in Computer Scienceen_US
thesis.degree.levelMastersen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.departmentComputingen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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