Hello,
I’ve also encountered a significant issue with the grading process in the notebooks.
Despite achieving the expected outputs for all exercises, two specific exercises consistently score 0/10, stating that no notebook is present in the expected directory.
Here’s what I experienced:
- I managed to achieve a 90% score by re-executing and submitting the faulty exercises again.
- I also tried restarting the kernel, clearing all outputs, and re-executing all cells, but this only resulted in an 80% score !
This is disappointing, especially since this is not a new course, and such issues undermine the learning experience. I’m familiar with the DeepLearning.AI grading process, so I was able to work around the issue, but I worry that others may not have the same level of patience or familiarity.
The graded notebook system needs a proper update and thorough testing to ensure that such errors don’t occur.
Here is my best result, despite passing all the tests correctly and producing the expected outputs:
Test Results
100/110
Score: 100 of 110
YesAssignment passed
Test_get_matrices
Filename: Test_get_matrices
10/10Score: 10 of 10
test_compute_loss
Filename: test_compute_loss
10/10Score: 10 of 10
test_compute_gradient
Filename: test_compute_gradient
0/10Score: 0 of 10
Grader output
No notebook was found in the submission directory.
test_align_embeddings
Filename: test_align_embeddings
10/10Score: 10 of 10
test_nearest_neighbor
Filename: test_nearest_neighbor
10/10Score: 10 of 10
unittest_test_vocabulary
Filename: unittest_test_vocabulary
10/10Score: 10 of 10
test_get_document_embedding
Filename: test_get_document_embedding
10/10Score: 10 of 10
test_get_document_vecs
Filename: test_get_document_vecs
10/10Score: 10 of 10
test_hash_value_of_vector
Filename: test_hash_value_of_vector
10/10Score: 10 of 10
test_make_hash_table
Filename: test_make_hash_table
10/10Score: 10 of 10
test_approximate_knn
Filename: test_approximate_knn
10/10Score: 10 of 10
I hope this issue can be addressed soon to improve the reliability of the grading process.
Thank you!