Parameter, Hyperparameter Tuning.
Then you also have the choice of activation function. do you want to use a RELU, or tangent or a sigmoid function especially in the hidden layers. So all of these things are things that you need to tell your learning algorithm and so these are parameters that control the ultimate parameters W and B