Gradient checking last part

Course Q&A Deep Learning Specialization Improving Deep Neural Networks: Hyperparameter tun
1

I am stuck at the last exercise that is gradient_check. My error is the following
AssertionError Traceback (most recent call last)
in
6 expected_values = [0.2850931567761623, 1.1890913024229996e-07]
7 assert not(type(difference) == np.ndarray), “You are not using np.linalg.norm for numerator or denominator”
----> 8 assert np.any(np.isclose(difference, expected_values)), “Wrong value. It is not one of the expected values”

AssertionError: Wrong value. It is not one of the expected values

[code removed - moderator]

2

This line is wrong: theta_minus[i] = theta_plus[i] - epsilon