COS 532 - Deep Learning

An introduction to the theory and applications of deep learning. Topics include basic neural networks, convolutional and recurrent networks, and applications in computer vision and language interpretation. Students will learn to design neural network architectures and training procedures via hands-on assignments.

Prerequisite(s): Graduate Standing or appropriate Accelerated Graduate Pathway.
Co-requisite(s):
Credits: 4

Course Typically Offered:
Course Type: Computer Science