Gaussian processes are well known surrogate products in Bayesian optimization used to do hyperparameter optimization. Genetic algorithms[edit]Recurrent neural networks (RNN) vary from feedforward neural networks in they usually use time series data or data that involves sequences. Unlike feedforward neural networks, which use weights in each node o