menu
arrow_back

Predicting Baby Weight with TensorFlow on Cloud ML Engine

Open Google Console

Caution: When you are in the console, do not deviate from the lab instructions. Doing so may cause your account to be blocked. Learn more.

Predicting Baby Weight with TensorFlow on Cloud ML Engine

1 hour 30 minutes 9 Credits

GSP013

Google Cloud Self-Paced Labs

Overview

In this lab you will 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.

If you are not yet familiar with Datalab, what follows is a graphical cheat sheet for the main Datalab functionality:

369bf7e045b084ed.png

What you learn

In this lab, you will:

  • Launch Cloud Datalab

  • Carry out local training

  • Carry out distributed training

  • Deploy the ML model as a web service

  • Make predictions with the model

Join Qwiklabs to read the rest of this lab...and more!

  • Get temporary access to the Google Cloud Console.
  • Over 200 labs from beginner to advanced levels.
  • Bite-sized so you can learn at your own pace.
Join to Start This Lab
Score

—/15

Launch Cloud Datalab

Run Step

/ 5

Create a bucket and copy the pre-processed dataset into it.

Run Step

/ 5

Checkout notebook into Cloud Datalab

Run Step

/ 5

home
Home
school
Catalog
menu
More
More