Mathematical and machine learning background for deep learning. Feed-forward networks, backpropagation, and training strategies for deep networks. Architectures such as convolutional, recurrent, and transformer networks. Deep reinforcement and unsupervised learning, with exposure to modern programming tools and libraries.

Level

grad

Department

CAS

Credits

4

Cross-listed as

EC 523

Prerequisites

CS 541 or CS 542