Week 3: Programming Assignment Initialization Parameters Test Failure

Course Q&A Deep Learning Specialization Neural Networks and Deep Learning
1 
# GRADED FUNCTION: initialize_parameters

def initialize_parameters(n_x, n_h, n_y):
   # moderator edit: code removed

When I run the following test = my results don’t match. I think this may be due to the use of random. But just wanted to check if this is just me not understanding this correctly or there is a problem with the way I am initializing

Error

W1 = [[0.00435995 0.00025926]
 [0.00549662 0.00435322]
 [0.00420368 0.00330335]
 [0.00204649 0.00619271]]
b1 = [[0.]
 [0.]
 [0.]
 [0.]]
W2 = [[0.00299655 0.00266827 0.00621134 0.00529142]]
b2 = [[0.]]
---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-25-0eb4c3a6d62e> in <module>
      8 print("b2 = " + str(parameters["b2"]))
      9 
---> 10 initialize_parameters_test(initialize_parameters)

~/work/release/W3A1/public_tests.py in initialize_parameters_test(target)
     57     assert parameters["b2"].shape == expected_output["b2"].shape, f"Wrong shape for b2."
     58 
---> 59     assert np.allclose(parameters["W1"], expected_output["W1"]), "Wrong values for W1"
     60     assert np.allclose(parameters["b1"], expected_output["b1"]), "Wrong values for b1"
     61     assert np.allclose(parameters["W2"], expected_output["W2"]), "Wrong values for W2"

AssertionError: Wrong values for W1

Expected output

W1 = [[-0.00416758 -0.00056267]
 [-0.02136196  0.01640271]
 [-0.01793436 -0.00841747]
 [ 0.00502881 -0.01245288]]
b1 = [[0.]
 [0.]
 [0.]
 [0.]]
W2 = [[-0.01057952 -0.00909008  0.00551454  0.02292208]]
b2 = [[0.]]
All tests passed!
`
2

Sorry this is my mistake. I used the incorrect random function :face_with_open_eyes_and_hand_over_mouth:

3

I’m glad you solved the issue.

Please do not post your code on the forum. That isn’t allowed by the Code of Conduct. I have edited your message to remove the code.