IT 721 APPLIED RESEARCH TOPICS IN DEEP LEARNING THEORY & PRACTICAL APPLICATIONS

This course offers an advanced exploration of deep learning theory and its practical applications in various domains. It covers cutting-edge research topics, methodologies, and techniques in deep learning, with a focus on both theoretical foundations and hands-on implementation. Through a combination of lectures, seminars, and hands-on projects, students will investigate advanced concepts such as deep neural network architectures, optimization algorithms, regularization techniques, and state-of-the-art applications of deep learning. Emphasis will be placed on understanding the theoretical underpinnings of deep learning models, analyzing their practical implications, and conducting applied research to address real-world problems.

Credits

3

Prerequisite

DCT 700 (May be taken concurrently.)

Distribution

INFORMATION TECHNOLOGY