User:MartinThoma/Hyperparameter

A hyperparamter in the context of neural networks is a parameter, that does not get automatically adjusted by the learning algorithm.

In the case of multilayer perceptrons, hyperparameters are:


 * the network topology, that means the number of layers and the number of neurons in each layer,
 * the activation functions,
 * the learning rate and
 * data preprocessing