Prepare Data for ML APIs on Google Cloud: Challenge Lab Reviews

Abdullah A. · Reviewed больше 2 лет ago

Antonio Pedro d. · Reviewed больше 2 лет ago

Rawena Jamile d. · Reviewed больше 2 лет ago

Mohammed A. · Reviewed больше 2 лет ago

Muhammad Ahsan Q. · Reviewed больше 2 лет ago

Parece que tá zuado

Eduardo C. · Reviewed больше 2 лет ago

I had to manually edit the metadata to be application/json for Task 3 & Task 4 to check. That's not clear considering that we have to name the file .result which automatically sets it to a different type when you gsutil cp over to cloud storage

India O. · Reviewed больше 2 лет ago

Vilmos W. · Reviewed больше 2 лет ago

Prusevich H. · Reviewed больше 2 лет ago

Muhammad Ahsan Q. · Reviewed больше 2 лет ago

Johan Smith R. · Reviewed больше 2 лет ago

Arnavee M. · Reviewed больше 2 лет ago

Divya B. · Reviewed больше 2 лет ago

Vitalii K. · Reviewed больше 2 лет ago

Good lab - but there is a lack of troubleshooting hints. There is a potential problem when checking the results in a json file placed in GCS. The file type in GCS must be "application/json". When copying files using gsutil if the name of the file is not ".json" the type of the file is not set correctly. And the lab forces you to have a file name wihtout "json" extension (ie task4-cnl-275.result). So the checker breaks and there is no feedback around why it fails.

Marc K. · Reviewed больше 2 лет ago

Ratlavath S. · Reviewed больше 2 лет ago

Mohsin Y. · Reviewed больше 2 лет ago

Leandro G. · Reviewed больше 2 лет ago

There is a problem when validating outputs of Speech-to-text API and Cloud Natural Language API in GCS - Or I did something wrong in which case there should be some troubleshooting hints (permissions? zone? wrong path?)

Marc K. · Reviewed больше 2 лет ago

KAVIYA P U. · Reviewed больше 2 лет ago

Sahithi P. · Reviewed больше 2 лет ago

Claudio M. · Reviewed больше 2 лет ago

Rachit J. · Reviewed больше 2 лет ago

Prusevich H. · Reviewed больше 2 лет ago

Daniyar M. · Reviewed больше 2 лет ago