Efficient Optimization of Echo State Networks for Time Series Datasets

2 code implementations • 12 Mar 2019 • Jacob Reinier Maat, Nikos Gianniotis, Pavlos Protopapas

Echo State Networks (ESNs) are recurrent neural networks that only train their output layer, thereby precluding the need to backpropagate gradients through time, which leads to significant computational gains.

Astronomy Bayesian Optimization +2