Deep Neural Networks, Forward Propagation.
mind that X is equal to A0. These are just the training examples stacked in different columns. You could take this, let me scratch out X, they can put A0 there. Then for the next layer, looks similar, Z2 equals w2 A1 plus b2 and A2 equals g of Z2. We’re just taking these vectors z or a and so on,