AWS DeepRacer – Tips and Tricks – Battery and SSH

If you would like to know more about what the AWS DeepRacer is, please refer to my previous post:  AWS DeepRacer – Overview

I was going to do an unboxing video, but Andrew Knaebel has done a well enough job of that and posted it on YouTube, so I’ll skip that part and move onto more detail on getting up and running with the AWS DeepRacer. 

A lot of this is covered in the AWS DeepRacer Getting Started Guide so I’ll try and focus on the places where it was not so clear.… [Keep reading] “AWS DeepRacer – Tips and Tricks – Battery and SSH”

AWS DeepRacer – Training your reinforcement learning model in AWS Robomaker

If you would like to know more about what the AWS DeepRacer is, please refer to my previous post:  AWS DeepRacer – Overview

There seems to be many ways to get your AWS DeepRacer model trained. These are a few I have discovered:

  • The AWS DeepRacer Console (Live Preview yet to commence, GA early 2019)
  • SageMaker RL notebook
  • Locally from the DeepRacer GitHub repository
  • AWS RoboMaker sample simulation
  • AWS RoboMaker Cloud9 IDE with sample application downloaded

In this post, we will be exploring how to train a reinforcement learning model using AWS Robomaker, both with the sample application downloaded and in the Cloud9 development environment.… [Keep reading] “AWS DeepRacer – Training your reinforcement learning model in AWS Robomaker”

AWS DeepRacer – How to load a model

If you would like to know more about what the AWS DeepRacer is, please refer to my previous post:  AWS DeepRacer – Overview

This post assumes you have followed the AWS DeepRacer Getting Started Guide which gets you to the point of being able to manually drive the car.

So now you have the AWS DeepRacer charged up and ready to go. You have a trained model you got from Re:Invent or you followed my other post here and trained your model with RoboMaker/SageMaker.… [Keep reading] “AWS DeepRacer – How to load a model”

AWS DeepRacer – How to login to the Ubuntu Computer Onboard

If you would like to know more about what the AWS DeepRacer is, please refer to my previous post:  AWS DeepRacer – Overview

This post assumes you have followed the AWS DeepRacer Getting Started Guide which gets you to the point of being able to manually drive the car.

So to go deep into your understanding of the AWS DeepRacer and to troubleshoot deep technical issues, it may become necessary to log into the Ubuntu Server on-board the AWS DeepRacer.… [Keep reading] “AWS DeepRacer – How to login to the Ubuntu Computer Onboard”

AWS DeepRacer – Overview

Recently I had the privilege of attending the AWS Re:Invent 2018 conference in Las Vegas. Among the hundreds of announcements, there was one that particularly spoke to my passions of reinforcement learning and robotics.

The AWS DeepRacer!

I was one of the lucky few that got into the AWS DeepRacer workshops where we were introduced to the technology in the service as well as interacting with the yet to be released DeepRacer console.… [Keep reading] “AWS DeepRacer – Overview”

Creating custom Deep Learning models with AWS SageMaker

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This blog will cover how to use SageMaker, and I’ve included the code from my GitHub, https://github.com/Steve–Hunter/DeepLens-Safety-Helmet.

1 What is AWS SageMaker?

AWS (Amazon Web Services) SageMaker is “a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.” (https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html). In other words, SageMaker gives you a one-stop-shop to get your Deep Learning models going, in a relatively friction-less way.… [Keep reading] “Creating custom Deep Learning models with AWS SageMaker”

Building a Breakfast Ordering Skill for Amazon Alexa – Part 1

First published at https://nivleshc.wordpress.com

Introduction

At the AWS Summit Sydney this year, Telstra decided to host a breakfast session for some of their VIP clients. This was more of a networking session, to get to know the clients much better. However, instead of having a “normal” breakfast session, we decided to take it up one level 😉
Breakfast ordering is quite “boring” if you ask me 😉 The waitress comes to the table, gives you a menu and asks what you would like to order.… [Keep reading] “Building a Breakfast Ordering Skill for Amazon Alexa – Part 1”

AWS DeepLens – Part 1 – Getting the DeepLens Online

Look what I got my hands on!

Today I will be taking you through the initial setup of the yet to be released AWS DeepLens. DeepLens is rumoured to be released globally in April 2018.

What is the AWS DeepLens?

Announced at AWS Re-Invent 2017, DeepLens is a marriage of:

  • HD Camera
  • Intel based computer with an on-board GPU
  • Ubuntu OS
  • AWS Greengrass
  • AWS IOT
  • AWS Lambda
  • AWS SageMaker

This marriage of technologies is designed to assist developers achieve Deep-Learning inference at the edge device.… [Keep reading] “AWS DeepLens – Part 1 – Getting the DeepLens Online”

Replacing the service desk with bots using Amazon Lex and Amazon Connect (Part 4)

Welcome back to the final blog post in this series! In parts 1, 2 and 3, we set up an Amazon Lex bot to converse with users, receive and validate verification input, and perform a password reset. While we’ve successfully tested this functionality in the AWS console, we want to provide our users with the ability to call and talk with the bot over the phone. In this blog post, we’ll wire up Amazon Connect with our bot to provide this capability.… [Keep reading] “Replacing the service desk with bots using Amazon Lex and Amazon Connect (Part 4)”

Replacing the service desk with bots using Amazon Lex and Amazon Connect (Part 3)

Hopefully you’ve had the chance to follow along in parts 1 and 2 where we set up our Lex chatbot to take and validate input. In this blog, we’ll interface with our Active Directory environment to perform the password reset function. To do this, we need to create a Lambda function that will be used as the logic to fulfil the user’s intent. The Lambda function will be packaged with the python LDAP library to modify the AD password attribute for the user.… [Keep reading] “Replacing the service desk with bots using Amazon Lex and Amazon Connect (Part 3)”

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