MTH 4320 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.
Prerequisite: (CSE 1002 or CSE 1502 or CSE 1503) and (MTH 2201 or MTH 2202 or MTH 3102 or MTH 3200)