Deep learning is a technique used by machine learning in the attempt to approach artificial intelligence. In this course, students will learn how to build deep networks. Students will begin learning how to use regularization and optimization for deep learning. Convolutional and recurrent networks will be reviewed in the context of deep learning. (Prerequisite: DATS431)

View the course schedule to find out details about each course including prerequisites, course objectives, course materials, a snapshot of the syllabi, and session dates.