Gaussian processes are well known surrogate models in Bayesian optimization accustomed to do hyperparameter optimization. Genetic algorithms[edit] Recurrent neural networks (RNN) vary from feedforward neural networks in that they commonly use time sequence data or data that includes sequences. Not like feedforward neural networks, which use weights in Each and https://ai-development-services51727.weblogco.com/27815353/detailed-notes-on-ai-consulting-solutions