April 2018
Beginner to intermediate
282 pages
6h 52m
English
In this chapter, you learned about model parameters, hyperparameters, and configuration space. Let's review them quickly:
You have been introduced to common hyperparameter optimization methods, such as grid search and randomized search. Grid search and randomized search do not use the information produced from previous training runs and this is a disadvantage that Bayesian-based optimization methods address.
Bayesian-based ...