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. To Appear Fall 2025