TensorFlow Machine Learning on the Amazon Deep Learning AMI

Logging in to the Amazon Web Services Console

Lab Steps

Forwarding a Virtual Machine Port through an SSH Tunnel

Learning the Basics of TensorFlow

Starting a Jupyter Notebook Server

Creating a Neural Network in TensorFlow

Visualizing the Learning of the Neural Network with TensorBoard

Serving a Model with TensorFlow Serving

Consuming the Model Served by TensorFlow Serving

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Here you can find the instructions for this specific Lab Step.

If you are ready for a real environment experience please start the Lab. Keep in mind that you'll need to start from the first step.

Introduction

This lab experience involves Amazon Web Services (AWS), and you will use the AWS Management Console to complete all the lab steps.

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The AWS Management Console is a web control panel for managing all your AWS resources, from EC2 instances to SNS topics. The console enables cloud management for all aspects of the AWS account, including managing security credentials and even setting up new IAM Users.

Instructions

1. To start the lab experience, open the Amazon Console by clicking the Open Environment button in the upper-left corner of the lab:

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You will see 100% Setup completed status once the lab environment resources are created.

2. Enter the following credentials created just for your lab session, and click Sign in:

Account ID or alias:
IAM user name:
Password:

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3. Select the US West (Oregon) us-west-2 region using the upper-right drop-down menu on the AWS Management Console:

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Amazon Web Services is available in different regions all over the world, and the console lets you provision resources across multiple regions. You usually choose a region that best suits your business needs to optimize your customer’s experience, but you must use the for this Lab.

Recommendation: For an optimal lab experience, ensure that you are using a supported browser when accessing the AWS Management Console. For example, an up-to-date version of Google Chrome or Mozilla Firefox.