IFSC 7325 - Deep Learning Theory and Apps

Three credit hours.

Deep learning is an emerging area of machine learning with broad applications in data science, data mining, bioinformatics, and Artificial Intelligence. Deep learning is about learning multiple levels of representation and abstraction that help to make sense of data such as images, text, sound, and video. This course offers a mathematical and conceptual background of deep learning. It teaches deep learning techniques used by practitioners in industry, including deep feedforward networks, convolutional networks, and deep belief networks; and it surveys such applications as pattern recognition and data mining from big data including texts, images, and social networks.

Prerequisites: IFSC 5325 or permission of the instructor.