Deep Learning, Vectorization, Forward Propagation, Activation Functions.
hope this gives a justification for why we had previously w1 times xi equals z1i when we’re looking at single training example at the time. When you took the different training examples and stacked them up in different columns, then the corresponding result is that you end up with the z’s also