Deep Learning for Comp. Vision

3 Credits · Level: Graduate, Undergraduate

This course will focus on building state-of-the-art systems in the intersection of deep learning and computer vision. Topics will cover deep architectures and learning algorithms for various discriminative and generative computer vision tasks. The course will demonstrate how such tasks are main building blocks in processing images and videos for applications such as self-driving cars, healthcare, surveillance, and human-computer interfaces. Students should be comfortable with: Linear Algebra, Calculus, Probability, Working knowledge of programming, Exposure to simple deep learning models