Gradient Descent, Neural Networks.
which is an optional tutorial, to go greater into Jeff about how we came up with those formulas. So, let me just summarize again the equations for propagation. So, you have Z1 equals W1X plus B1, and then A1 equals the activation function in that layer applied element wise as Z1, and then Z2 equals