DLS Course 2 Week 1 Wrong value for gradient checking

Course Q&A Deep Learning Specialization Improving Deep Neural Networks: Hyperparameter tun
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[removed code]

Your backward propagation works perfectly fine! difference = 2.919335883291695e-10---------------------------------------------------------------------------AssertionErrorTraceback (most recent call last)in6expected_values=[0.2850931567761623,1.1890913024229996e-07]7assertnot(type(difference)==np.ndarray),“You are not using np.linalg.norm for numerator or denominator”----> 8assertnp.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

Expected output:

There is a mistake in the backward propagation!difference = 0.2850931567761623

I still get wrong value. Can anyone help me, please!

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Should you think that your implementation of forward_propagation_n is correct, please click my name and message your notebook as an attachment.

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There was a typo. difference was typed as differnece