Getting this error while generating dataset: “IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.”
Please help me in this!
The problem is probably in one the previous exercises (1 or 2, or both). Make sure you implement these exercises according to instructions (making use of keras.layers and keras.utils) because if you have very inefficient code this might lead to the error you have.
Cheers
I’ve implemented those previous exercises as instructed and got all the test cases(unittest) passed. Still unable to solve this issue.
Thanks,
Aniket
Passing unit tests is a good sign but it does not guarantee that the implementation is correct or efficient. If you hard time implementing them and tried many times, I would encourage to save your current work and complete the fresh copy only replacing the None
values:
How to Refresh your Workspace:
Using Lab Help
- Open the assignment.
- After the assignment opens up, click "File" (top left) and then "Open…"
- When your workspace opens, select the check box before your assignment file. After it is selected, press "Shutdown".
- Using the same procedure mentioned above, "Rename" your file. For instance you can change it from assignment_name.ipynb to assignment_name_v2.ipynb. By doing this you’ll be able to save your current progress on the assignment after the latest assignment file is fetched.
- Using the same procedure, "Delete" any other file, if any, that you want to get a fresh copy of.
- After renaming your file, click on the "Help" button on the top right of the page. From the panel that opens, click "Get latest version" button, and then "Update lab".
- After the page reloads go to File → Open… , as described in (2)
- Now you’ll see two notebook files. The one you renamed (as done in step 4) will have your previous progress, and the latest version. (Depending on how many previous versions you have kept saved, you could have more than two assignment files in the worksapce)
Cheers
Thanks finally it’s been solved!
Thanks,
Aniket