3 credits.
Prereq: C or better in CSCE 240 or CSCE 556; C or better in MATH 241; C or better in MATH 344
Introduction to artificial neural networks, neural network topologies, neural network learning paradigms, training rules, and applications across supervised, unsupervised, and reinforcement learning tasks.