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CSE5065

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Neural Networks

Course Title

Neural Networks

Credit Hrs

3

Grade Modes

Audit, Pass/Fail, Standard Letter

Course Description

Neuron modeling. The perceptron and multilayer perceptrons. Learning algorithms. The Kohonen model, the Grossberg model, the Hopfield model. Associative memory. Applications. Recent developments in the field.
Prerequisite
Complete ALL of the following Courses:
  • MATH2420
  • MATH3082
Complete ALL of the following Courses:
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The Math and Computer Science Requirement courses must be passed with a C or better or have consent of instructor and advisor before enrolling in CSE 5065.