C2_W3_Assignment update_parameters partial credit

Course Q&A Math for Machine Learning Calculus for Machine Learning and Data Science
1

I’m getting 10/20 on update_parameters when I submit the assignment for grading. However, when I run the notebook, I get an exact match for the output of the function and the expected output and the unit test passes.

Here’s the output from the grader:

Failed test case: "default_check". Wrong array W1..
Expected:
[[ 0.01794023  0.0043047 ]
 [ 0.00104143 -0.01872273]],
but got:
[[ 0.01792225  0.00432483]
 [ 0.00101594 -0.01869346]].

Failed test case: "default_check". Wrong array b1..
Expected:
[[-1.84034762e-06]
 [-2.54245039e-06]],
but got:
[[-1.22689841e-06]
 [-1.69496693e-06]].

Failed test case: "default_check". Wrong array W2..
Expected:
[[-0.0015988  -0.00260943]],
but got:
[[-0.0019905  -0.00292215]].

Failed test case: "default_check". Wrong array b2..
Expected:
[[0.00283435]],
but got:
[[0.00188957]].

Failed test case: "extra_check". Wrong array W1..
Expected:
[[-0.00081229 -0.00628698]
 [-0.00044829 -0.00476073]],
but got:
[[-0.00081985 -0.0062785 ]
 [-0.00044323 -0.00476645]].

Failed test case: "extra_check". Wrong array b1..
Expected:
[[-3.36004448e-07]
 [ 2.28585674e-07]],
but got:
[[-1.68002224e-07]
 [ 1.14292837e-07]].

Failed test case: "extra_check". Wrong array W2..
Expected:
[[-0.01309373  0.00889263]],
but got:
[[-0.01311619  0.00886943]].

Failed test case: "extra_check". Wrong array b2..
Expected:
[[0.0001042]],
but got:
[[5.21e-05]].
1 Like
2

I got it to work. I think the issue was that I used -= for variable assignment in the code block to “Update rule for each parameter”. When I switched to being less Pythonic, then I received full credit.

3

Yes, that’s a common issue. It has to do with whether the function creates a local copy of the data, or if it updates the original data by reference.