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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