Programming

AWS DeepRacer Community Log Analysis Challenge

In the Community it is important to us to help new members when they struggle, enable them when they want to contribute and support them in progressing from passive to active contributors. This is why we have started community challenges in


Racing in depth. Preparing a strategy for AWS DeepRacer League

August has been an incredible month in the AWS DeepRacer world. The Udacity & AWS DeepRacer Scholarship Challenge brought a lot of attention and this has lead to many new co


Training locally for AWS DeepRacer and a Udacity Challenge with rewards

August started in the world of AWS DeepRacer with a high C - Friendly folks at Udacity created this challenge that you might want to get your hands dirty with: AWS DeepRacer Scholar


Improving AWS DeepRacer log analysis even further

In the previous post I mentioned raising a pull request to AWS with my version of log analysis. I received first feedback, including that from myself.


Analyzing the AWS DeepRacer logs my way

Over the whole time I've spent learning to DeepRace, I kept mentioning how log analysis was important to me. Let me expand on it a little bit.


AWS DeepRacer Virtual Race #2: Kumo Torakku

After the first virtual race came the second: Kumo Torakku, which is Japanese for a cloud-shaped truck.


AWS DeepRacer League personal update 23.06.2019

Amazon have released a video yesterday to tell about the Virtual League and I'm in it:


AWS DeepRacer Virtual Race #1: London Loop

After the AWS London Summit I joined the first virtual race: The London Loop. I must admit that I didn't write during that time because it was very competitive and I have spend a lot of time trying to keep up with the race. When you don't kn


Using Jupyter Notebook for analysing DeepRacer's logs

Training a model for DeepRacer involves getting a lot of data and then while you can ignore it, you can also analyze it and use for your own benefit.


I wasn't prepared to succeed. AWS DeepRacer League London.

On Wednesday I took part in autonomous car racing league. Let me share the story. I'll start with a trailer from Amsterdam:


Planning a training of an AWS DeepRacer autonomous car

Having completed the tutorial and started training, I had to decide on a proper way to get my DeepRacer going and doing it well. Analyzing the track I started with a bunch of default sample rewards like sticking to the center


AWS DeepRacer Console is live! Time to train.

A lot happened Since I wrote the recent post. The most important aspect is the general availability of an AWS DeepRacer Console. This has very significant influence on my plans.