CmpE 545 Artificial Neural Networks

Catalog Description: 

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

Credits: 

(3+0+0) 3 ECTS 8

Prerequisites: 

Consent of the instructor
Link Year Semester Course Page Instructor Course Schedule Lab Schedule
view 2018 Spring Ethem Alpaydın FFF 345 BM A5 | BM A5 | BM A5
view 2017 Spring Ethem Alpaydın FFF 234 BM B5 | BM B5 | BM B5
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view 2010 Spring Course Page Ethem Alpaydın

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Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

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