AWS DeepRacer: a 1/18th scale race car built for machine learning @awscloud
AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL).
RL is an advanced machine learning (ML) technique which takes a very different approach to training models than other machine learning methods. Its superpower is that it learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.
Looking into building autonomous vehicles but not paying for the costly hardware build or learning software? This may be the path for you. Train, test, and iterate quickly and easily.
With AWS DeepRacer you do not need to manually set up a software environment, simulator or configure a training environment. AWS DeepRacer offers an integrated simulation environment and reinforcement learning platform hosted on the AWS Cloud for experimentation and optimization of your autonomous racing models.
Under the hood
18th scale 4WD with monster truck chassis
Intel Atom™ Processor
4 MP camera with MJPEG
Ubuntu OS 16.04.3 LTS, Intel® OpenVINO™ toolkit, ROS Kinetic
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.