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https://github.com/lucapedrelli/DeepESN

Deep Echo State Network (DeepESN) Python library
https://github.com/lucapedrelli/DeepESN

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Deep Echo State Network (DeepESN) Python library

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# Deep Echo State Network Python library (DeepESNpy), 2018

Deep Echo State Network (DeepESN) is an extension of the ESN model towards the deep learning paradigm (Deep Reservoir Computing). A DeepESN is a deep Recurrent Neural Network composed by a hierarchy of recurrent layers intrinsically able to develop hierarchical and distributed temporal features. Such characteristics make DeepESN suitable for time-series and sequences processing.

All details about DeepESN model are described in the reference paper (**CITATION REQUEST**):

C. Gallicchio, A. Micheli, L. Pedrelli,

["Deep Reservoir Computing: A Critical Experimental Analysis", Neurocomputing, 2017, vol. 268, pp. 87-99](https://www.sciencedirect.com/science/article/pii/S0925231217307567)

The design of DeepESN model in multivariate time-series prediction tasks is described in the following paper:

C. Gallicchio, A. Micheli, L. Pedrelli,

["Design of deep echo state networks", Neural Networks, 2018, vol. 108, pp. 33-47](https://www.sciencedirect.com/science/article/pii/S0893608018302223)

**AUTHOR INFORMATION**

Luca Pedrelli

[email protected]

[email protected]

Department of Computer Science - University of Pisa (Italy)

Computational Intelligence & Machine Learning (CIML) Group

http://www.di.unipi.it/groups/ciml/