Colloquium: Inspection of Echo State Networks for Dynamic Gestures

24 April 2017

We investigate Echo State Networks (ESN), which implement a new training paradigm for recurrent neural networks. We first demonstrate their gesture classification performance considering two feature sets with very distinct complexity. Second, we introduce the recurrence analysis for qualitative and quantitative description of the gesture input and the system dynamics of an ESN, and show that the methodology complements classic stability measures. Finally, we address the reservoir itself and propose an algorithm for pruning connectivity in a one-shot learning scenario.

Monday, 24. April 2017, 12:15, Informatik, Room D-220

Doreen Jirak, University of Hamburg