0. TensorFlow Introduction: Preparation

0-1. Prerequisites

This codelab requires:

• Mac OS X, Windows or Linux PC that is connected to the internet
• Basic experience on Python and SQL programming

1-1. Set up BigQuery

Follow the BigQuery Quickstart until you finish the section Query a public dataset. You can skip the rest of the sections. If you are trying this codelab with a GCP codelab account provided by event organizers, you can skip the Enable billing secion.

1-2. Set up Cloud Datalab

• Follow the instruction on Cloud Datalab Quickstart using Google Cloud Shell.
• Note: Make sure enabling Compute Engine API and Cloud Source Repositories API before running datalab create command.
• Note: datalab create command may take for a while, especially the last 'Waiting for SSH key to propagate' part takes a few minutes to finish. Please be patient.
• Important Note: This will create a Google Compute Engine instance running on the cloud until you delete it. Please make sure to Delete the Datalab and delete Permanent Disk (PD) after finishing the codelab. If you leave Datalab running on the cloud, it possible you will get charged for it.

1-3. Learn Jupyter Notebook basics

Open docs / intro / Introduction to Notebooks to learn basics of Jupyter Notebook.

1-4. Download the codelab materials

• Click the Home icon in the list, then click datalab and notebooks folder
• Click Notebook button at the top left menu to add a new Notebook
• Add the following line to the first cell in the Notebook

!git clone https://github.com/kazunori279/TensorFlow-for-absolute-beginners

• Click Run menu to execute it. You will see the git command downloading the codelab material to Datalab folder

• Open the TensorFlow-for-absolute-beginners folder created on the current folder

What's Next?

Now you're ready to join the TensorFlow Introduction codelab. Please start the codelab from 1. Understanding neural network with TensorFlow Playground