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Course Syllabus:

  1. Neural Networks Architectures:
  • Feedforward
  • Recurrent
  • Hebbian rule
  • Radial Basis
  • Competitive (SOM, LVQ)
  • Convolutional
  • Deep architectures
  • Optimization methods
  1. Fuzzy Logic & Fuzzy Subset Theory

Instructor: