Definition of Hyperparameter. Meaning of Hyperparameter. Synonyms of Hyperparameter

- learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a...
- learning, a hyperparameter is a parameter that can be set in order to define any configurable part of a model's learning process. Hyperparameters can be classified...
- Hyperparameter may refer to: Hyperparameter (machine learning) Hyperparameter (Bayesian statistics) This disambiguation page lists articles ****ociated...
- In Bayesian statistics, a hyperparameter is a parameter of a prior distribution; the term is used to distinguish them from parameters of the model for...
- a prior distribution on a hyperparameter, that is, on a parameter of a prior distribution. As with the term hyperparameter, the use of hyper is to distinguish...
- built into deep learning libraries such as Keras. Hyperparameter (machine learning) Hyperparameter optimization Stochastic gradient descent Variable metric...
- separable pattern classes. Subsequent developments in hardware and hyperparameter tunings have made end-to-end stochastic gradient descent the currently...
- have found prominent use in machine learning problems for optimizing hyperparameter values. The term is generally attributed to Jonas Mockus [lt] and is...
- outperform hand-designed models. Common techniques used in AutoML include hyperparameter optimization, meta-learning and neural architecture search. In a typical...
- for many different hyperparameters (or even different model types) and the validation set is used to determine the best hyperparameter set (and model type)...