Deep Neural Networks, Forward Propagation.
How about layer two? Say that layer. Well, you would then compute z2 equals w2 a1 plus b2. Then, so the activation of layer two is the y matrix times the outputs of layer one. So, it’s that value, plus the bias vector for layer two. Then a2 equals the activation function applied to z2. Okay? So