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Gaussian processes are well-known surrogate designs in Bayesian optimization utilized to do hyperparameter optimization. Genetic algorithms[edit]Recurrent neural networks (RNN) differ from feedforward neural networks in they ordinarily use time collection data or data that includes sequences. Not like feedforward neural networks, which use weights