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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