Tutorial: Perspectives on Learning with RNNs
Barbara Hammer, Jochen J. Steil · 2002
We present an overview of current lines of research on learning with recurrent neural networks (RNNs). Topics covered are: understanding and unification of algorithms, theoretical foundations, new efforts to circumvent gradient vanishing, new architectures, and fusion with other learning methods and dynamical systems theory. The structuring guideline is to understand many new approaches as different efforts to regularize and thereby improve recurrent learning.