CGS4313 - Neural Net Mathematics

CGS 4313 Neural Net Mathematics (3 semester credit hours) Advanced matrix calculus and vector calculus-based probability theory with applications to problems in machine learning and artificial neural network modeling. Stochastic sequences and stochastic convergence. Markov/Conditional Random Fields. Intended to provide mathematics preparation for CGS 4314 and CGS 4315. Prerequisites: CGS 3342 and (MATH 2418 and MATH 2451) and (STAT 3341 or STAT 4351) or instructor consent required. (3-0) T