ACN6348 - Neural Net Mathematics

ACN 6348 (HCS 6348) Neural Net Mathematics (3 semester credit hours) Vector calculus, Radon-Nikodym density functions, vector calculus-based probability theory, and Markov random fields with machine learning and artificial neural network modeling applications. Emphasizes applications of theory to unsupervised, supervised, and reinforcement learning machines and deep learning. This course is a required prerequisite for ACN 6349 and HCS 6349. Prerequisites: Linear algebra and calculus and (STAT 3341 or equivalent) and department consent required. (3-0) T