CSCI 5351 Applied Deep Learning

This advanced course delves into the latest advancements, research and mathematical foundations of deep learning, covering sophisticated architectures such as generative adversarial networks (GANs), transformers, and reinforcement learning. Students will engage with cutting-edge techniques and tools, exploring applications across diverse domains like multi-modal data integration and autonomous systems. The course includes a strong emphasis on original research, critical analysis of recent studies, and the development of innovative solutions to complex problems, equipping students to contribute to the forefront of deep learning research and application.

Prerequisite

Admission to MSCS program