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

heidi t. · 已于 almost 4 years前审核

Manne F. · 已于 almost 4 years前审核

picard j. · 已于 almost 4 years前审核

Chang X. · 已于 almost 4 years前审核

Chang X. · 已于 almost 4 years前审核

Parth Jilesh K. · 已于 almost 4 years前审核

Zhen Q. · 已于 almost 4 years前审核

Maleeha Q. · 已于 almost 4 years前审核

Claudio Matías G. · 已于 almost 4 years前审核

super!

Yih-Dar S. · 已于 almost 4 years前审核

Ghirardi N. · 已于 almost 4 years前审核

Anupam S. · 已于 almost 4 years前审核

Yan D. · 已于 almost 4 years前审核

needs longer time limit so we don't restart such a long lab each time

Kenneth L. · 已于 almost 4 years前审核

Benjamin H. · 已于 almost 4 years前审核

Ravishankar S. · 已于 almost 4 years前审核

Emanuel O. · 已于 almost 4 years前审核

Anupam S. · 已于 almost 4 years前审核

Shkarin S. · 已于 almost 4 years前审核

This was an excellent lab. Thank you for preparing such a complete training material. It must been taken a long time to create such a package. I learned the end-to-end process of forest coverage prediction using SGD classifier. It is highly recommended for my team members to complete this exercise. question: In the Task 2, how can I create, configure, and deploy a Kubeflow pipeline instance from Cloud Shell? That was the only step I needed to leave from Cloud Shell. It would be nice to have command line execution example for that. It was a great experience. Thank you for building this lab.

Masahito N. · 已于 almost 4 years前审核

Very informative and helpful!

Dheepak J. · 已于 almost 4 years前审核

Eros W. · 已于 almost 4 years前审核

Vianney B. · 已于 almost 4 years前审核

Hangwei L. · 已于 almost 4 years前审核

Nikhil P. · 已于 almost 4 years前审核