Using custom containers with AI Platform Training Reviews
4209 reviews
Saurabh P. · Reviewed about 5 years ago
Kunal O. · Reviewed about 5 years ago
Poor documentation, unable to complete the entire exercise.
John K. · Reviewed about 5 years ago
Suparn C. · Reviewed about 5 years ago
Deepanshu D. · Reviewed about 5 years ago
Krishna K. · Reviewed about 5 years ago
Natthida S. · Reviewed about 5 years ago
Errors in python package dependencies
Frederic B. · Reviewed about 5 years ago
Suparn C. · Reviewed about 5 years ago
Jarek N. · Reviewed about 5 years ago
Gabriel A. · Reviewed about 5 years ago
Francisco J. · Reviewed about 5 years ago
Anand k. · Reviewed about 5 years ago
Prerana j. · Reviewed about 5 years ago
good
Pratik K. · Reviewed about 5 years ago
Random error
thibault b. · Reviewed about 5 years ago
good
Pratik K. · Reviewed about 5 years ago
Jongmin P. · Reviewed about 5 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 about 5 years ago
Good
Murli B. · Reviewed about 5 years ago
Lik H. · Reviewed about 5 years ago
good
Ashutosh K. · Reviewed about 5 years ago
Anand k. · Reviewed about 5 years ago
Ryan R. · Reviewed about 5 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 about 5 years ago
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