Course Catalog
| BAN 535 Neural Networks | 3 Credits | |||
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| This course covers neural networks as computational models. Topics include the classification problem and the modeling of a basic neuron as a classifier, perceptrons, perceptron convergence theorem, class separability, multi-layer perceptrons, backpropagation algorithm for training, recurrent networks, associative memory, Hopfield and Kohonen networks, applications to speech, vision and control problems. | ||||
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| Prerequisite: __ | ||||
| Corequisite: __ | ||||
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) | ||||
| General Requirements: | ||||