Using custom containers with AI Platform Training Reviews

Yura K. · Reviewed about 4 years ago

Cardstdani G. · Reviewed about 4 years ago

heidi t. · Reviewed over 4 years ago

Manne F. · Reviewed over 4 years ago

picard j. · Reviewed over 4 years ago

Chang X. · Reviewed over 4 years ago

Chang X. · Reviewed over 4 years ago

Parth Jilesh K. · Reviewed over 4 years ago

Zhen Q. · Reviewed over 4 years ago

Maleeha Q. · Reviewed over 4 years ago

Claudio Matías G. · Reviewed over 4 years ago

super!

Yih-Dar S. · Reviewed over 4 years ago

Ghirardi N. · Reviewed over 4 years ago

Anupam S. · Reviewed over 4 years ago

Yan D. · Reviewed over 4 years ago

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

Kenneth L. · Reviewed over 4 years ago

Benjamin H. · Reviewed over 4 years ago

Ravishankar S. · Reviewed over 4 years ago

Emanuel O. · Reviewed over 4 years ago

Anupam S. · Reviewed over 4 years ago

Shkarin S. · Reviewed over 4 years 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 over 4 years ago

Very informative and helpful!

Dheepak J. · Reviewed over 4 years ago

Eros W. · Reviewed over 4 years ago

Vianney B. · Reviewed over 4 years ago