关于“在 Vertex AI 上构建和部署机器学习解决方案：实验室挑战赛”的评价

Training and Deploying the Model took 58 min

Jayakiran P. · 已于 about 1 year前审核

Insufficient time

Jayakiran P. · 已于 about 1 year前审核

Bonita O. · 已于 about 1 year前审核

Kishore B. · 已于 about 1 year前审核

Yusuf J. · 已于 about 1 year前审核

Bonita O. · 已于 about 1 year前审核

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. · 已于 about 1 year前审核

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. · 已于 about 1 year前审核

SIYA G. · 已于 about 1 year前审核

SIYA G. · 已于 about 1 year前审核

Wajih B. · 已于 about 1 year前审核

MAITHILI M. · 已于 about 1 year前审核

marina a. · 已于 about 1 year前审核

Wajih B. · 已于 about 1 year前审核

time consuming, need more time for troubleshooting.

Edgar John Q. · 已于 about 1 year前审核

Christian G. · 已于 about 1 year前审核

Parveen Kumar R. · 已于 about 1 year前审核

Meet P. · 已于 about 1 year前审核

Edgar John Q. · 已于 about 1 year前审核

Richard Kweku A. · 已于 about 1 year前审核

Gene A. · 已于 about 1 year前审核

Prakash V. · 已于 about 1 year前审核

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. · 已于 about 1 year前审核

Gabriel Q. · 已于 about 1 year前审核

Miguel M. · 已于 about 1 year前审核