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Home / Courses / CmpE 545
 
 
 
 
  CmpE 545    

Artificial Neural Networks

Description: Introduction to cognitive science. Parallel, distributed problems. Constraint satisfaction. Hopfield model. Supervised vs. unsupervised learning. Single vs. multi-layer perceptions. Static vs. dynamic network architecture. Comparison of neural approaches with parametric and nonparametric statistical methods. Neural network applications.

Prerequisite: CmpE 544

Course Offerings:

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