ELEC 502 / COMP 502, spring 2008
| Class meets: TTH 2:30 - 3:50pm, KH 107
Instructor: Erzsébet Merényi email: erzsebet@rice.edu Office/Phone: DH 2040, 713-348-3595 Office hour: W 2-3pm, or by appointment Assistant: Ms. Lili Zhang Office hour: M 2-3pm, or by appointment |
Syllabus Prerequisites Course Flyer Disability Allowances Last Updated: May 12, 2008 |
Short course description: Review of major Artificial Neural Network paradigms. Analytical discussion of supervised and unsupervised learning. Emphasis on state-of-the-art Hebbian (biologically most plausible) learning paradigms and their relation to information theoretical methods. Applications to data analysis such as pattern recognition, clustering, classification, blind source separation, non-linear PCA, projection pursuit, independent component analysis, with lots of examples from image and signal processing and other areas.
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