STAT 502 - NEURAL MACHINE LEARNING I
Long Title: NEURAL MACHINE LEARNING I
Grade Mode: Standard Letter
Course Type: Lecture
Credit Hours: 3
Must be enrolled in one of the following Level(s):
Description: Review of major neural machine learning (Artificial Neural Network) paradigms. Analytical discussion of supervised and unsupervised neural learning algorithms and their relation to information theoretical methods. Practical applications to data analysis such as pattern recognition, clustering, classification, function approximation/regression, non-linear PCA, projection pursuit, independent component analysis, with lots of examples from image and digital processings. Details are posted at www.ece.rice.edu/~erzsebet/ANNcourse.html. Cross-list: COMP 502, ELEC 502.