Date of Award
7-2018
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Engineering and Sciences
First Advisor
Thomas Eskridge
Second Advisor
William Allen
Third Advisor
Carlos Otero
Fourth Advisor
Philip Bernhard
Abstract
This 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.
Recommended Citation
Kaushal, Daljeet Kaur, "A Development Environment to Integrate Big Data with Deep Learning" (2018). Theses and Dissertations. 727.
https://repository.fit.edu/etd/727