3388 Reviews
Youssef A. · Reviewed about 2 hours ago
Selin Doga O. · Reviewed about 2 hours ago
Göktuğ Y. · Reviewed about 2 hours ago
fouad k. · Reviewed about 3 hours ago
.
Orkun Mahir K. · Reviewed about 3 hours ago
Muhammet Mustafa D. · Reviewed about 3 hours ago
Nuran T. · Reviewed 10 days ago
ZICHUANG X. · Reviewed 11 days ago
sivsov h. · Reviewed 11 days ago
Federico L. · Reviewed 11 days ago
oussema c. · Reviewed 11 days ago
Raul R. · Reviewed 11 days ago
sivsov h. · Reviewed 12 days ago
Meiliany P. · Reviewed 12 days ago
Couple of issues: In several places ml engine is still used instead of ai platform, and since the introduction of global students will need to set up a region in order for the lab to finish. The point grader will only accept us-central1, so I had to manually create a model resource and deploy it there for us-central1, in order for the grader to work. By default the commands in the tutorial created a resource in global for me.
Jeffrey L. · Reviewed 12 days ago
would be nice if both python version and tensorflow updated
Hanati T. · Reviewed 12 days ago
ML Model command on the last "Deploying" section should be modified, not to provide region details. Otherwise, ML model is created with the wrong endpoint and the next command for the V1 creation fails. Please, update.
Laziz T. · Reviewed 12 days ago
Alwin J. · Reviewed 13 days ago
Matthew D. · Reviewed 13 days ago
Hola M. · Reviewed 14 days ago
khalil a. · Reviewed 14 days ago
Milos B. · Reviewed 14 days ago
Kailash T. · Reviewed 15 days ago
There is a problem in last stage, Deployment of model script is not working due to region is not correctly specified.
Cem G. · Reviewed 15 days ago
The last step did not register for points, even though it all worked and the python script returned a response from the cloud endpoint.
Cory R. · Reviewed 16 days ago