CS 4782 - Introduction to Deep Learning

Spring. 4 credits. Student option grading.

Prerequisite: CS 2110 or equivalent and CS 3780 or ECE 4200 or STSCI 3740 and CS 1110 or CS 1112. Co-meets with CS 5782.

Staff.

This class is an introductory course to deep learning. It covers the fundamental principles behind training and inference of deep networks, the specific architecture design choices applicable for different data modalities, discriminative and generative settings, and the ethical and societal implications of such models.