# Does the number of hidden layers affect the activation function?

Suppose there's a network with N hidden layers.

There are 2 cases:

1. The network is deep
2. The network is shallow

I've been wondering how N affects choosing the activation function.

Will it affect, for example, Sigmoid more than Leaky ReLU?