Back
Propagation |
| Neural Network Implementation I |
Implementation methods and techniques of neural network models. Backpropagation. Boosting learning efficiency, related and advanced models. Model, topology and network size selection. Adaptive strategies of net optimization.
Seminars are devoted to practical issues of specific applications implementation. |
| Neural Network Implementation II |
Implementation methods and techniques of neural network models. Kohonen maps, Hopfield network. Neural formulation of classical tasks, assignment transitions. Solution evaluation, modifications for network behavior improvement.
Seminars are devoted to practical issues of specific applications implementation. |
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