In a fully connected neural network with linear activation functions, what impact does the number of layers have on the network's behavior?

a) It significantly alters the network's learning capacity.
b) It affects the network's ability to converge during training.
c) It has effectively no impact on the network.
d) It causes the network to become unstable.