C5W1 assignment grade issue

Course Q&A Deep Learning Specialization Sequence Models
,
1

Like down below, all test are fully passed but, the score of the assignment is zero.

스크린샷 2024-10-09 14.16.29
스크린샷 2024-10-09 14.16.291636×220 11.6 KB

and there is no reasons or errors on the grade page.
I did not add any additional code or cell.

What should I do ?

or is there any way to get the clear copy of the assignment ?

a_next[4] =
[-0.66408471 0.0036921 0.02088357 0.22834167 -0.85575339 0.00138482
0.76566531 0.34631421 -0.00215674 0.43827275]
a_next.shape = (5, 10)
c_next[2] =
[ 0.63267805 1.00570849 0.35504474 0.20690913 -1.64566718 0.11832942
0.76449811 -0.0981561 -0.74348425 -0.26810932]
c_next.shape = (5, 10)
yt[1] = [0.79913913 0.15986619 0.22412122 0.15606108 0.97057211 0.31146381
0.00943007 0.12666353 0.39380172 0.07828381]
yt.shape = (2, 10)
cache[1][3] =
[-0.16263996 1.03729328 0.72938082 -0.54101719 0.02752074 -0.30821874
0.07651101 -1.03752894 1.41219977 -0.37647422]
len(cache) = 10
All tests passed

2

What is the name of the assignment you are working on?

I ask because your title says C1W1, but you have selected “Sequence Models” as your tag - that is Course 5.

3

Him TMosh, sorry for confusing. It was my mistake.
The name of the assignment is ‘Building_a_Recurrent_Neural_Network_Step_by_Step’
And it would be C5W1

4

Did any of the following happen to your notebook?

  • Renamed the notebook?
  • Added cells?
  • Deleted cells?
  • Moved cells?
  • Downloaded the notebook and edited it on another platform, then uploaded it back to Coursera for grading?
5

No, I did not.

6

The instructions to get a fresh copy are here.

7

To close the loop on the public thread, I had a DM conversation with Seung. Their notebook passes the grader for me, so I’m not sure what is happening here. But I notice that their notebook does not include a version number, which was added to all the notebooks in all the DLS courses several months back. One theory would be that Seung is taking a different version of this course than the one that we are seeing, but I’m not sure how that could happen.