Using custom containers with AI Platform Training Reviews
4207 reviews
Poor documentation, unable to complete the entire exercise.
John K. · Reviewed over 4 years ago
Suparn C. · Reviewed over 4 years ago
Deepanshu D. · Reviewed over 4 years ago
Krishna K. · Reviewed over 4 years ago
Natthida S. · Reviewed over 4 years ago
Errors in python package dependencies
Frederic B. · Reviewed over 4 years ago
Suparn C. · Reviewed over 4 years ago
Jarek N. · Reviewed over 4 years ago
Gabriel A. · Reviewed over 4 years ago
Francisco J. · Reviewed over 4 years ago
Anand k. · Reviewed over 4 years ago
Prerana j. · Reviewed over 4 years ago
good
Pratik K. · Reviewed over 4 years ago
Random error
thibault b. · Reviewed over 4 years ago
good
Pratik K. · Reviewed over 4 years ago
Jongmin P. · Reviewed over 4 years ago
This lab seems like jus copy-paste from another labs, the concepts are poorly related, asks to create a ai platform pipeline to doesn't use it at all. then creates a container for hparam tunning and train the model, but it again it doesn't use the previously created container to deploy the model that doesn't make sense because the obvious use case of containers is to deploy the exact same thing that is used in development (prototyping and training for ML models)
Miguel A. · Reviewed over 4 years ago
Good
Murli B. · Reviewed over 4 years ago
Lik H. · Reviewed over 4 years ago
good
Ashutosh K. · Reviewed over 4 years ago
Anand k. · Reviewed over 4 years ago
Ryan R. · Reviewed over 4 years ago
so many issues with missing info re: replacing certain data inside [ ]'s and other areas where substitutions were required. Jupyter NB's do not have a clear cell icon....
Glen G. · Reviewed over 4 years ago
Glen G. · Reviewed over 4 years ago
Sheetal S. · Reviewed over 4 years ago
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