Stephen Carrad has been involved in JPMC DeepRacer programme from the very beginning. In this talk he shares how through making JPMC a big player in the AWS DeepRacer World their employees become big players in the cloud.
DBro’s local training notes
In his blog post, Darren Broderick (DBro) has shared the AWS DeepRacer local training and troubleshooting notes he relies on when setting up his training.
You can find it here: https://darren-broderick.medium.com/aws-deepracer-local-training-drfc-fd550f619410
Learning: Train DeepRacer models on EC2 Spot instances
Matias Kreder has shared a blog post on how to use EC2 Spot instances to train your model. Matias is a CTO at selehann.com, an AWS Community Builder and an AWS DeepRacer Pro Racer.
You’ll find it here: https://dev.to/mkreder/train-deepracer-models-on-ec2-spot-instances-4ndm
Bandwidth-RnD’s DeepRacer learnings
Have a look at this great article by Bryan Turner at Bandwidth R&D: Bandwidth R&D’s AWS DeepRacer 2021 Season Recap
[Hands-on] Who won what in the AWS DeepRacer League 2021?
One of the greatest mysteries of this season was who got which prizes in races. The questions of who qualifies where, who gets what prize have been popping up regularly in the Community Slack channels. Learn how I used SageMaker Notebook, Python and Pandas to determine the winners by reading data from Jochem Lugtenburg’s deepracer-race-data repository.
Continue reading “[Hands-on] Who won what in the AWS DeepRacer League 2021?”[Spanish/English] ¡Preparados! ¡Listos! ¡A programar!
Matias Kreder, también conocido como Matt, recibió la semana pasada un DeepRacer Evo por haber calificado entre los primeros 10 en la carrera de Abril. En el siguiente artículo se pueden ver las fotos del premio:
Matias Kreder, also known as Matt, received last week his DeepRacer Evo as he qualified for the top 10 on April’s race. He shared some pictures of his brand new prize in the following LinkedIn post:
https://www.linkedin.com/posts/mkreder_amazon-aws-deepracer-activity-6812825371394744320-KP9t
Además de participar en la liga Profesional, Matias ayuda a difundir DeepRacer para que sea cada vez más conocido en la región de LATAM. El ha creado diferentes artículos para que la gente pueda iniciarse en DeepRacer:
Besides racing in the professional league, Matias enjoys contributing to make DeepRacer more popular in the LATAM region. He has created the following articles to help people get started on DeepRacer:
https://www.linkedin.com/pulse/preparados-listos-programar-matias-kreder/
Invitation: AWS Machine Learning Engineer Nanodegree Scholarship Program
Read how you can participate in the program for a chance to receive free access to a Machine Learning engineer Nanodegree at Udacity.
Continue reading “Invitation: AWS Machine Learning Engineer Nanodegree Scholarship Program”Controlling AWS DeepRacer with AWS Chime SDK
Cyrus Wong together with his students have shared another resource, this time on how to control your DeepRacer with us of AWS Chime SDK. Read his blog post on LinkedIn.
Analyse AWS DeepRacer Real World Performance using Amazon Rekognition Custom Labels
Do read this article by Pui Kwan HO on how to use Amazon Rekognition Custom Labels to record the AWS DeepRacer performance in physical racing.
The Article is available on LinkedIn.
The source code is available on GitHub, not sure on the licensing though.
Demo:
Use gaming controllers to steer your DeepRacer
Another great resource from Cyrus Wong’s team: how to connect a PS4 pad or a steering wheel to your DeepRacer. Excellent content Siu Hong Leung!
See the source code on GitHub (released under MIT)
Demo: