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
Have a look at this great article by Bryan Turner at Bandwidth R&D: Bandwidth R&D’s AWS DeepRacer 2021 Season Recap
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?”
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/
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”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.
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:
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:
Oscar Yuen, is teaching secondary school students how to play the AWS DeepRacer in Hong Kong, he is sharing his racing skills and teaching experiences with AWS DeepRacer. Visit Linkedin to read his post on how to train using waypoints.
His reward function samples are available on his Github.