Using custom containers with AI Platform Training Reviews

heidi t. · Reviewed почти 4 лет ago

Manne F. · Reviewed почти 4 лет ago

picard j. · Reviewed почти 4 лет ago

Chang X. · Reviewed почти 4 лет ago

Chang X. · Reviewed почти 4 лет ago

Parth Jilesh K. · Reviewed почти 4 лет ago

Zhen Q. · Reviewed почти 4 лет ago

Maleeha Q. · Reviewed почти 4 лет ago

Claudio Matías G. · Reviewed почти 4 лет ago

super!

Yih-Dar S. · Reviewed почти 4 лет ago

Ghirardi N. · Reviewed почти 4 лет ago

Anupam S. · Reviewed почти 4 лет ago

Yan D. · Reviewed почти 4 лет ago

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

Kenneth L. · Reviewed почти 4 лет ago

Benjamin H. · Reviewed почти 4 лет ago

Ravishankar S. · Reviewed почти 4 лет ago

Emanuel O. · Reviewed почти 4 лет ago

Anupam S. · Reviewed почти 4 лет ago

Shkarin S. · Reviewed почти 4 лет ago

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. · Reviewed почти 4 лет ago

Very informative and helpful!

Dheepak J. · Reviewed почти 4 лет ago

Eros W. · Reviewed почти 4 лет ago

Vianney B. · Reviewed почти 4 лет ago

Hangwei L. · Reviewed почти 4 лет ago

Nikhil P. · Reviewed почти 4 лет ago