Deep Neural Networks, Forward Propagation.
that zl is equal to wl times a of l minus 1 plus bl. It’s one there. And then, the activations for that layer is the activation function applied to the values of z. So, that’s the general forward propagation equation. So, we’ve done all this for a single training example. Section 1- Forward