Introduction to deep learning and its application to visual computing and interactive media; basic concepts and programming of deep learning, computer vision, graphics, and interactive media; hands-on experience developing and training AI tools and models through programming assignments and projects. Prerequisites: Graduate classification; two semesters of calculus, linear algebra, programming in Python recommended Credits 3. 3 Lecture Hours.
Introduction to deep learning and its application to visual computing and interactive media; basic concepts and programming of deep learning, computer vision, graphics, and interactive media; hands-on experience developing and training AI tools and models through programming assignments and projects. Prerequisites: Graduate classification; two semesters of calculus, linear algebra, programming in Python recommended Credits 3. 3 Lecture Hours.
