CMPE 474 - Artificial Neural Networks |
Introduction to theory, architecture, and applications of artificial neural systems; Supervised, unsupervised, and reinforcement learning in single and multiple layer neural networks; Associative neural memory recording and retrieval dynamics; Self-organizing maps; Learning capacity and generalization; Hardware implementations.
3.000 Credit hours 3.000 Lecture hours 0.000 Lab hours Syllabus Available Levels: Undergraduate Schedule Types: Lecture Computer Science & Engineering Department Course Attributes: Engineering Course (TUI) Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: Undergraduate level MATH 217 Minimum Grade of D |
Return to Previous | New Search |
![]() |