Deep Neural Networks, Forward Propagation.
one of the neural network, and then you compute the activations for that layer to be equal to g of z1. The activation function g depends on what layer you’re at and maybe what index set as the activation function from layer one. So if you do that, you’ve now computed the activations for layer one.