In this lab you train, evaluate, and deploy a machine learning model to predict a baby's weight. You then send requests to the model to make online predictions.

What you need

You must have completed Lab 0 and have the following:

What you learn

In this lab, you will:

Step 1

In Cloud Datalab, click on the Home icon, and then navigate to notebooks/asl-ml-immersion/2.4_endtoend_lab and open explore.ipynb.

Step 2

In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.

Step 1

In Cloud Datalab, click on the Home icon, and then navigate to notebooks/asl-ml-immersion/2.4_endtoend_lab and open sample.ipynb.

Step 2

In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.

Step 1

In Cloud Datalab, click on the Home icon, and then navigate to notebooks/asl-ml-immersion/2.4_endtoend_lab and open tensorflow.ipynb.

Step 2

In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.

Step 1

In Cloud Datalab, click on the Home icon, and then navigate to notebooks/asl-ml-immersion/2.4_endtoend_lab and open preproc.ipynb.

Step 2

In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.

Step 1

In Cloud Datalab, click on the Home icon, and then navigate to notebooks/asl-ml-immersion/2.4_endtoend_lab and open train.ipynb.

Step 2

In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.

Step 1

In Cloud Datalab, click on the Home icon, and then navigate to notebooks/asl-ml-immersion/2.4_endtoend_lab and open deploy.ipynb.

Step 2

In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.

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