Danna Gurari

This course will cover machine learning approaches that are based on neural networks, also referred to as ‘deep learning’, and how these approaches are applied to solve artificial intelligence problems.

This course will cover machine learning approaches that are based on neural networks, also referred to as ‘deep learning’, and how these approaches are applied to solve artificial intelligence problems.

Computer vision is increasingly becoming part of the fabric of our society, enabling new technologies to analyze images and videos in order to support our daily lives. Students in this graduate-level course will explore both fundamental and state-of-art problems in the field.

This class will cover core and cutting edge concepts employed in machine learning to solve artificial intelligence problems. Students will learn the theory behind a range of machine learning tools and practice applying the tools to, for example, textual data (natural language processing), visual data (computer vision), and the combination of both textual and visual data.

This class will cover fundamental and state-of-art problems in computer vision, the sub-discipline of artificial intelligence that tries to create computers that can “see”. Students will explore this field through examination of the human-based challenges faced when teaching computers to see.