Echo State Networks for Time-Series Data
Echo State Networks for Time-Series Data

Abstract: 

In this session, participants will be introduced to Echo State Networks (a type of recurrent neural network) including theory, key parameters in implementation and practical considerations. Participants will have the opportunity to use a publicly available Echo State Network implementation on open data. Additional results will be shown based on a highly customized implementation.
The tutorial will use python, jupyter notebooks and the EchoTorch python module (https://github.com/nschaetti/EchoTorch).
Participants will come away with a basic understanding of Echo State Networks, how to use the EchoTorch python module, the impact key parameters have on algorithm performance and potential application areas.

Bio: 

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