The new invention by Amazon will help developers to understand ML (Machine learning) better. This week, the company launched AWS DeepRacer, a self-driving 1/18th-scale race car. The car is designed to teach developers about ML through a learning technique called RL, reinforcement learning.
RL works when an “agent” is allowed to act on a trial-and-error basis within an interactive environment. The process works by collecting feedbacks from its actions to learn overtime as to maximize some type of score or to achieve a predetermined goal.
The process of RL is different from other ML learning methods like supervised learning. RL can get started without any labeled training data and can make short-term decisions and at the same time, it can optimize itself a long-term goal.
The new autonomous race car paved the way for developers to carry out an experiment with RL by learning through self- driving.
Theprice of the self-driving car is $399 but currently being offeredfor $249.
The self-driving car is powered by Intel Atom Processor, and is equipped with a radio-controlled system and has four wheels. It has anUbuntu’sOS 16.04 LTS, ROS (Robot Operating System) and Intel OpenVino computer vision toolkit.
Apart from that, the car is sported with a 4MP (1080p resolution) camera, a Wi-Fi connectivity of 802.11ac, multiple USB ports and its battery power last upto two hours.