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”

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”

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”