Preferential optimization is a method for optimizing hyperparameters, focusing of human preferences, by determining which trial is superior when comparing a pair. It differs from human-in-the-loop ...

Hyperparameter Optimization is getting deeper and deeper as the complexity in deep learning models increases. Many handy tools have been developed to tune the parameters like HyperOpt, SMAC, Spearmint ...

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