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Fall 2023
May 17, 2025
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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

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Release: 8.7.2.4