Course 4 week 4 assignment 2 # UNQ_C5

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

The grader gives me 80%, meanwhile when I run all the cells gives me no errors.

This shows in the grader output:

Code Cell UNQ_C5: Unexpected error (NameError(‘in user code:\n\n File “/tmp/student_solution_cells/cell_26.py”, line 50, in train_step *\n J_content = compute_content_cost(a, a_G)\n\n NameError: name 'a' is not defined\n’)) occurred during function check. We expected function train_step to return train_step test 1 failed. Please check that this function is defined properly.
If you see many functions being marked as incorrect, try to trace back your steps & identify if there is an incorrect function that is being used in other steps.
This dependency may be the cause of the errors.

2

You did not mention which week and assignment you’re working on.

3

apologies the question is concerning weak 4 assignment 2 neural style transfer.

4

The call to compute_content_cost() should use the variables a_C and a_G.
Yours appears to use a and a_G.

5

I do not think this is the problem since I have used a_C and a_G not a and a_G

6

The error message clearly says your code uses used a, not a_C.

image
image737×203 24.4 KB

Did you perhaps rename your ipynb notebook file name? You can’t grade a renamed notebook, because the grader always uses the file with the original name.

7

I know what the error message says but my code is written with a_C also i did not rename my ipynb
image

8

I have no other explanation to offer.

1 Like
9

I appreciate your effort , Thanks

10

Hey @Muhammad_Mahmoud1!

Maybe you added an extra cell or duplicated that cell and used a instead of a_C there. Or maybe, previously you wrote a and then changed it to a_C but forget to run the cell? Try this: press Ctrl + f and find J_content = compute_content_cost, maybe you get something.

Best,
Saif.

1 Like
11

Thanks for your help the problem was solved

12

I am glad you resolved it. So, what was the problem?

13

I just cleared all the outputs and ran the notebook again then the submitted