Convolutional Neural Networks Week3 #lab2
All tests passed on exercise 3 still not getting the correct grades??
Check implementation. 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.
What is the grader feedback?
Code Cell UNQ_C1: Function āconv_blockā is correct.
Code Cell UNQ_C2: Function āupsampling_blockā is correct.
Code Cell UNQ_C3: Function āunet_modelā is incorrect. Check implementation.
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.
66%
Please click on my name to start a private message. Then, attach your notebook as a .ipynb file. Please note that mentors cannot access your Coursera Jupyter workspace, so sending the notebook in a .ipynb format is essential.
The classic way this can happen is if you āhard-codeā the parameters to be the default values, instead of using the actual values passed. E.g. using 23 instead of n_classes or likewise for n_filters.
What if the grader passes a different value?
I have checked the values are not hard coded.
Ok, then weāll need to see your code. Have you sent it to Balaji?
Feedback edited
@anas_azeez
I got full score upon submitting the notebook you gave me via direct message. Itās possible that you didnāt save the changes or something odd did happen with the grader.
Upon refreshing my workspace and pasting your code only where required between ### START CODE HERE and ### END CODE HERE for submission, the grader gave full score as well.
Please try one more time. Sorry about that.
I submitted the assignment again today and I got a 100% score.
I think there was a problem with the grader