Machine Learning, Bayesian Optimization, Comet, Hyperparameter Tuning.
exhaustively searching through all possible combinations. Suppose you have two hyperparameters: learning rate and batch size. You would define a set of possible values for each and then train a model for every possible pair of hyperparameters. This technique's advantage is that it is simple and