MTH 5320 Deep Learning

Credit Hours: 3

A project-based introduction to deep learning architectures, algorithms and applications. Includes multilayer perceptrons, convolutional neural networks, recurrent neural networks and transformers; theory and implementation of learning algorithms, training and tuning procedures; and
applications to computer vision and natural language processing.
Cross-listed with MTH 4320.
Prerequisite: Background knowledge equivalent to MTH 2202 and CSE 1002.