Definition of Hyperparameters. Meaning of Hyperparameters. Synonyms of Hyperparameters

- learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a...
- Hyperparameter may refer to: Hyperparameter (machine learning) Hyperparameter (Bayesian statistics) This disambiguation page lists articles ****ociated...
- classified as either model hyperparameters (such as the topology and size of a neural network) or algorithm hyperparameters (such as the learning rate...
- system: from a given set of hyperparameters, incoming data updates these hyperparameters, so one can see the change in hyperparameters as a kind of "time evolution"...
- Examples of hyperparameters include learning rate, the number of hidden layers and batch size.[citation needed] The values of some hyperparameters can be dependent...
- positive real numbers chosen as hyperparameters. In the original paper, they used a particular choice of hyperparameters. The style loss is computed by...
- marginal likelihood, represents a convenient approach for setting hyperparameters, but has been mostly supplanted by fully Bayesian hierarchical analyses...
- Klein, Aaron (2017). "Fast bayesian optimization of machine learning hyperparameters on large datasets". Proceedings of the 20th International Conference...
- has hyperparameters, these may be called hyperhyperparameters, and so forth. One can analogously call the posterior distribution on the hyperparameter the...
- hyperparameters. One may take a single value for a given hyperparameter, or one can iterate and take a probability distribution on the hyperparameter...