TF Data and Deployment: Assignment Troubleshooting Tips

Course Q&A TensorFlow: Data and Deployment Specialization TensorFlow: Data and Deployment Resources
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Here are some general guidelines before submitting your assignments in this specialization. Please take note of the course numbers each tip is applicable to:

  1. [Courses 2, 3, and 4]: Please save your work before clicking the Submit button. If not, you might get an error message like in the code cell below because the grader still sees a blank solution.

    Cell #2. Can't compile the student's code. Error: SyntaxError('invalid syntax', 
('/tmp/student_solution_cells/cell_2.py', 10, 31, '    one_hot = # YOUR CODE HERE\n'))

  2. [Courses 2, 3, and 4]: Please do not rename the notebook because the grader will look for the original filename and its associated metadata. You should work on the file automatically opened when you click the Launch Notebook button. If you try to submit a renamed notebook, you might also get an error like the one shown above.

  3. [All Courses]: Unless mentioned in the instructions otherwise, please do not modify any code aside from the YOUR CODE HERE tags. Your solution should only be placed on these markers to ensure successful grading. Adding/deleting code cells and modifying ungraded code cells can potentially break the grader. If you want to experiment with these, you can do so after you have successfully passed the assignment.

  4. [Courses 2, 3, and 4]: If the grader still gives you 0/100 after following the tips above, then the metadata needed for grading might be corrupted. You can get a new lab notebook by refreshing your workspace (instructions here ). You can then paste your solutions into this new notebook, save, then resubmit.

  5. [All Courses]: If the tips above don’t work or if you have further questions, please create a new public topic so more mentors can see your query. Just make sure to create it in the correct course and week category.