CE 408 – Artificial neural networks

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CE 408 – Artificial neural networks; Weekly hours: 2+0, ECTS: 4
The course introduces underlying principles of artificial neural networks. Topics covered include simple perceptrons and adalines, linear and multi-layer networks. It describes the backpropagation algorithm, Hebbian learning and the belief propagation algorithm. Recurrent networks and non-supervised networks are studied. Introduction and motivation; Basic concepts; Simple perceptrons and adalines; Linear networks; Linear networks and performance; Multilayer networks; Backpropagation; Recurrent networks; Non-supervised networks; Hebbian learning; Graphs; Belief propagation.