Running Distributed TensorFlow using Vertex AI Reviews

Heads up should be given on the time needed to deploy the endpoint. Also the vertex AI image referenced is an old image, endpoint is not listed directly as an option under vertex AI, you have to go to batch-predictions to find the endpoint. Lastly the code failed immediately after model deployment.

Okechukwu O. · Reviewed over 2 years ago

Elyas A. · Reviewed over 2 years ago

An Ning T. · Reviewed over 2 years ago

Heather M. · Reviewed over 2 years ago

charlie w. · Reviewed over 2 years ago

instructions did not line up with options in UI. Could not "customize instance" and no exxx options came up for machine type

Heather M. · Reviewed over 2 years ago

LIU K. · Reviewed over 2 years ago

Xin Jie W. · Reviewed over 2 years ago

K i. · Reviewed over 2 years ago

Jia Qi T. · Reviewed over 2 years ago

Juroy L. · Reviewed over 2 years ago

Desmond O. · Reviewed over 2 years ago

Pei Yu H. · Reviewed over 2 years ago

Zhuo Li S. · Reviewed over 2 years ago

Jin X. · Reviewed over 2 years ago

some of the tutorial items are no longer matching i.e: steps to create Vertex AI Notebook Endpoints now in Online Prediction many error on the pynb

Teguh S. · Reviewed over 2 years ago

Elvis S. · Reviewed over 2 years ago

Arrvinna D. · Reviewed over 2 years ago

Joey L. · Reviewed over 2 years ago

Takashi I. · Reviewed over 2 years ago

Andy T. · Reviewed over 2 years ago

Mu'az B. · Reviewed over 2 years ago

Sanjivan B. · Reviewed over 2 years ago

Tse Yung C. · Reviewed over 2 years ago

This lab has error when running testing model datasets, info = tfds.load(name='mnist', with_info=True, batch_size=-1, as_supervised=True) test_dataset = datasets['test']

Hing Yip K. · Reviewed over 2 years ago