Deep Neural Networks, Forward Propagation.
that’s it for layer two, and so on and so forth. Until you get to the upper layer, that’s layer four. Where you would have that z4 is equal to the parameters for that layer times the activations from the previous layer, plus that bias vector. Then similarly, a4 equals g of z4.So, that’s how you