关于“Using custom containers with AI Platform Training”的评价

Too much computing time to finish the lab

Filip A. · 评论over 4 years之前

Why is the Kubeflow Pipelines instance created if it's not used?! The ML jobs are launched directly to ML Engine from the Notebook!!!

Vesa-Matti K. · 评论over 4 years之前

Zaid Y. · 评论over 4 years之前

Anatolii N. · 评论over 4 years之前

Too long with limited time, should be cut up so that you can save your progress. Some stuff was unclear, for example that you must remove the trailing slash from the artifact store.

Hannes B. · 评论over 4 years之前

Nhan T. · 评论over 4 years之前

Parv M. · 评论over 4 years之前

Parv M. · 评论over 4 years之前

Daniil K. · 评论over 4 years之前

Kutub K. · 评论over 4 years之前

Yinka M. · 评论over 4 years之前

Error!!!!!!

Nikita S. · 评论over 4 years之前

Phanindra C. · 评论over 4 years之前

Pablo Alfonso C. · 评论over 4 years之前

Adrien A. · 评论over 4 years之前

Soon Heng T. · 评论over 4 years之前

Sarah Z. · 评论over 4 years之前

Ganga B. · 评论over 4 years之前

several steps took too long (they said 5-10 minutes, I waited for 45minutes per step. It turned out that this happens if there is a problem in code, I had indent problem). did not have the time to finish it

Dušan Z. · 评论over 4 years之前

nn

Rakeshkumar P. · 评论over 4 years之前

Shows the process in detail

Jorge M. · 评论over 4 years之前

Yangyang H. · 评论over 4 years之前

salsabil s. · 评论over 4 years之前

Chidu N. · 评论over 4 years之前

Cong V. · 评论over 4 years之前