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, 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)