关于“Prepare Data for ML APIs on Google Cloud：挑戰研究室”的评价

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. · 评论6 months之前

Ratlavath S. · 评论6 months之前

Mohsin Y. · 评论6 months之前

Leandro G. · 评论6 months之前

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. · 评论6 months之前

KAVIYA P U. · 评论6 months之前

Sahithi P. · 评论6 months之前

Claudio M. · 评论6 months之前

Level Hard

JERAMIEL X. · 评论6 months之前

Rachit J. · 评论6 months之前

Prusevich H. · 评论6 months之前

Daniyar M. · 评论6 months之前

Great

Arthur C. · 评论6 months之前

Nguyễn Phượng H. · 评论6 months之前

aditya j. · 评论6 months之前

Shresth S. · 评论6 months之前

Sisi Y. · 评论6 months之前

Issa A. · 评论6 months之前

Aditya K. · 评论6 months之前

More time please, it was very limited.

Georgios G. · 评论6 months之前

This shit-dambn crappy lab doesn't recoghnize the uploaded results file sfrom tasks 3&4

Anatol H. · 评论6 months之前

Pulkit K. · 评论6 months之前

arfianto hendra k. · 评论6 months之前

that was so hard

chandana c. · 评论6 months之前

Akshay S. · 评论6 months之前