On the difficulty of learning chaotic dynamics with RNNs

Jonas M. Mikhaeil, Zahra Monfared, Daniel Durstewitz

Recurrent neural networks (RNNs) are wide-spread machine learning tools for modeling sequential and time series data. They are notoriously hard to train because their loss gradient…