Assertion: neural network's parameter | /r/HasProperty | learned by the model
Facets:
value: during the training time
type: TEMPORAL
Source sentences:
text: The major difference between parameters and hyperparameters is that parameters are learned by the model during the training time, while hyperparameters can be changed before training the model.