MTH 5320 Deep Learning

Credit Hours: 3

Introduces architectures, algorithms and applications. Includes single and multilayer perceptrons, counterpropagation, Kohonen self-organization, adaptive resonance theory, neocognition, probabilistic neural networks and Boltzmann machines with and without learning, recurrent neural networks.
Prerequisite: (CSE 1502 or CSE 1503 or CSE 2050) and (MTH 2201 or MTH 3200)