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.