At the end it says: “You built a very simple neural network and have explored the similarities of a neuron to the linear and logistic regression from Course 1”

But, the weights were provided to both models:

set_w = np.array([[200]])

set_b = np.array([100])

and

set_w = np.array([[2]])

set_b = np.array([-4.5])…

I was not able to follow exactly when the neural network was applied/learned.