ELEC 602: NEURAL MACHINE LEARNING II
Spring 2025 · Section 001 · CRN 26776
Advanced topics in ANN theories, with a focus on learning high-dimensional complex manifolds with neural maps (Self-Organizing Maps, Learning Vector Quantizers and variants). Application to data mining, clustering, classification, dimension reduction, sparse representation. The course will be a mix of lectures and seminar discussions with active student participation, based on most recent research publications. Students will have access to professional software environment to implement theories. Cross-list: STAT 602, COMP 602. Repeatable for Credit.
- Credits
- 3
- Instructors
- Erzsebet Merenyi