IT 625 - Deep Learning Methodologies

This course provides a comprehensive introduction to the principles and applications of deep learning. Students will explore various neural network architectures and gain hands-on experience with frameworks. Additionally, the course covers essential techniques for training and optimizing models, with practical applications in computer vision, natural language processing, and reinforcement learning. By the end of the course, students will be equipped to tackle complex problems using advanced deep learning methods. Semester Credit Hours: 3.00 Contact Hours: 45/0/0/45 Prerequisite: IT 500 Network Engineering Corequisite: None