Grand Canyon University 4 credits Computer Science
This course provides a comprehensive introduction to neural networks and deep learning. The location, retrieval, and conversion of raw data into usable information is accomplished by implementing a variety of neural network models. Students implement deep learning algorithms for organizing and searching very large data collections, like those typically found in enterprise databases and on websites. Students use clustering and categorization to generate various information taxonomies based on document ranking, evaluation, and classification. The laboratory reinforces and expands deep learning principles introduced in the lecture. Hands-on activities focus on using neural networks for performing data mining on a large business database and extracting trends and actionable information. Prerequisites: MAT-374 and (CST-217 or SYM-400)and MAT345.
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