Course 5, Week 1, Homework 3, Exercise 3 - predict and sample

Course Q&A Deep Learning Specialization Sequence Models
1

I had strange results. After spending a couple of hours on Exercise 3 (predict_and_sample), I restarted the kernel and then everything passed locally. But then I received 66/100 on the grader, with this message:

Code Cell UNQ_C1: Function ‘djmodel’ is correct.

Code Cell UNQ_C2: Function ‘music_inference_model’ is correct.

"Code Cell UNQ_C3: Unexpected error (ValueError('operands could not be broadcast together with shapes (13,89) (13,90) ')) occurred during function check. We expected function predict_and_sample to return Test 3 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."

66/100 is passing, but I want to make sure everything works. If I resubmit, I get 0/100 with this error message:

Comment line with index: UNQ_C3 is duplicated

Am I not allowed to resubmit my code after I’ve received a passing grade?

BTW, the problem I had in the UNQ_C3 function was that I only receive 2 values in my list of indices. I want to find the problem.

list(indices[12:18]) = [array([54]), array([54]), array([54]), array([54]), array([54]), array([75])]

Any suggestions would be greatly appreciated> Thanks in advance!

2

You can submit your code as many times as you like.

If you have a “duplicated” cell with the UNQ_C3 tag in it, then maybe you’ve modified something in the notebook that you should not have.

1 Like
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Code Cell UNQ_C3: Unexpected error (ValueError('operands could not be broadcast together with shapes (13,90,90) (13,90) ')) occurred during function check. We expected function predict_and_sample to return Test 3 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.

i received the same type of error any help?