COSC 433 Neural Networks
Introduction to neural networks, neural networks applications, architecture types, supervised reinforcement and unsupervised learning, training algorithms and optimization, operators and processes in neural networks, deep learning methods, temporal problems and recurrent neural networks, Hebbian learning and auto-associative memories, competition mechanisms and self-organized neural networks, reinforcement learning systems.