Speaker: Natalia Anosova, Senior Lecturer of the S.M. Nikol'skii Mathematical Institute, RUDN University
Topic: Neural networks as mathematical models and their usage
Annotation. Currently, neural networks receive mush attention. Because of increased computational capacity usage of neural networks is now possible for solving very difficult and hard-to-formalize tasks. Examples of such tasks are pattern recognition, classification, an approximation of complex functions, machine translation. Tasks for neural network applicability, types of neural networks, and further ways of development, in particular, recurrent networks, will be considered in the talk.