Deep Learning, Vectorization, Forward Propagation, Activation Functions.
network, we said that this is what you need to do if you were to implement for propagation, one training example at a time going from i equals 1 through m. And then we said, let’s stack up the training examples in columns like so and for each of these values z1, a1, z2, a2, let’s stack up the