COMP 602 - NEURAL NETWORKS&INFORMATN THRY
Long Title:
Department: Computer Science
Grade Mode: Standard Letter
Course Type: Lecture
Credit Hours: 3
Description: NEURAL NETWORKS AND INFORMATION THEORY II
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Advanced topics in ANN theories, with a focus on Self-Organizing Maps and unsupervised learning. 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.
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Enrollment is limited to 10.
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Also offered as ELEC 602.