Deep Learning for Artificial Intelligence

Modern data science, image analysis, and natural language processing have recently flourished with the rise of deep learning, a machine learning technique featuring neural networks. In this talk, we will describe the basics of deep learning and how it is used in modern artificial intelligence in image recognition/classification, object detection/tracking, and speech analysis. This talk will both address some of the mathematical foundations underlying these methods as well as the open theoretical challenges of analyzing these systems in practice. Note: If you already saw this talk in Fall 2016 or Spring 2017, this version will have new material focusing on natural language processing throughout.  This talk will be accessible to undergraduate mathematics majors who have taken calculus, and all other concepts will be introduced as needed.