Gradient based hyperparameter optimization in Echo State Networks.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 30921562.
- Also identified by DOI 10.1016/j.neunet.2019.02.001.
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Abstract
Like most machine learning algorithms, Echo State Networks possess several hyperparameters that have to be carefully tuned for achieving best performance. For minimizing the error on a specific task, we present a gradient based optimization algorithm, for the input scaling, the spectral radius, the leaking rate, and the regularization parameter.
Medical subject headings
- Machine Learning
- Neural Networks, Computer