关于“透過 Vertex AI 建構及部署機器學習解決方案：挑戰實驗室”的评价

Training and Deploying the Model took 58 min

Jayakiran P. · 评论about 1 year之前

Insufficient time

Jayakiran P. · 评论about 1 year之前

Bonita O. · 评论about 1 year之前

Kishore B. · 评论about 1 year之前

Yusuf J. · 评论about 1 year之前

Bonita O. · 评论about 1 year之前

Not enough info regarding Task 4. Use Cloud Build to build and submit your model container to Artifact Registry. No previous examples or info on the necessary repo name, or image location. EXTREMLY long load times, and you only get the error after 15 min or longer. Really bad if you're on a timer

Jan F. · 评论about 1 year之前

Not enough info regarding Task 4. Use Cloud Build to build and submit your model container to Artifact Registry. No previous examples or info on the necessary repo name, or image location.

Jan F. · 评论about 1 year之前

SIYA G. · 评论about 1 year之前

SIYA G. · 评论about 1 year之前

Wajih B. · 评论about 1 year之前

MAITHILI M. · 评论about 1 year之前

marina a. · 评论about 1 year之前

Wajih B. · 评论about 1 year之前

time consuming, need more time for troubleshooting.

Edgar John Q. · 评论about 1 year之前

Christian G. · 评论about 1 year之前

Parveen Kumar R. · 评论about 1 year之前

Meet P. · 评论about 1 year之前

Edgar John Q. · 评论about 1 year之前

Richard Kweku A. · 评论about 1 year之前

Gene A. · 评论about 1 year之前

Prakash V. · 评论about 1 year之前

The custom container training job kept failing with a resource timeout. There is no way to increase the timeout and logs were otherwise unhelpful. Since Qwiklabs support is basically useless (I have two other cases open without resolution for weeks now), the only option is to repeat and hope for the best.

Prakash V. · 评论about 1 year之前

Gabriel Q. · 评论about 1 year之前

Miguel M. · 评论about 1 year之前