Ordered this for my STEM class, the engine battery is not working, and there is no product help line to refer to troubleshoot.
Amazon support responded and resolved the issue. All set ready ... DeepRacer
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Car
Experience the thrill of the race in the real- world when you deploy your reinforcement learning model onto AWS DeepRacer with Sensor Kit.
Simulator
Build reinforcement learning models and train, test, and iterate quickly and easily on the track in the AWS DeepRacer 3D racing simulator.
League
Compete in the world’s first global, autonomous racing league, to race for prizes and glory and a chance to advance to the Championship Cup.
Under the hood
|
Car |
18th scale 4WD with monster truck chassis |
|
CPU |
Intel Atom™ Processor |
|
Memory |
4GB RAM |
|
Storage |
32GB Memory (expandable) |
|
Wi-Fi |
802.11ac |
|
Camera |
4 MP camera with MJPEG |
|
Software |
Ubuntu OS 20.04.3 LTS, Intel® OpenVINO™ toolkit, ROS 2 Foxy Fitzroy |
|
Drive Battery |
7.4V/1100mAh lithium polymer |
|
Compute Battery |
13600mAh USB-C PD |
|
Ports |
4x USB-A, 1x USB-C, 1x Micro-USB, 1x HDMI |
|
Sensors |
Integrated accelerometer and gyroscope |
|
Warranty and Terms |
One-year limited warranty. Use of the AWS DeepRacer device is subject to the terms found AWS DeepRacer Device Terms, Warranties, and Notices. |
|
California residents |
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Customer Review: DeepRacer easy setup
Tammara Miller
Reviews with images
Speed Meets Tech: AWS DeepRacer Review
AWS DeepRacer isn't just a toy; it's a revolutionary leap into the future of autonomous vehicles and machine learning. This 1/18th scale race car is designed not just for speed but as a hands-on tool for developers to delve into the fascinating world of reinforcement learning, an advanced machine learning technique.From unboxing to the track, DeepRacer provides an intuitive yet profound experience. Setting up the car is straightforward, thanks to comprehensive guides and AWS's developer resources. What's truly impressive is how DeepRacer demystifies complex machine learning concepts, making them accessible and engaging.The car itself is a marvel of modern engineering, capable of navigating complex tracks fully autonomously. Through the AWS console, developers can train their models in simulated environments before deploying them to the physical DeepRacer. This seamless integration of virtual training and real-world application is a testament to AWS's innovation.Performance-wise, DeepRacer is a thrill to watch. Observing your code translated into autonomous action on the track is both exhilarating and educational. The iterative process of tweaking models, training, and racing offers invaluable insights into reinforcement learning's nuances.The community around AWS DeepRacer adds another layer of excitement. Competing in leagues and exchanging strategies with fellow developers worldwide is not just fun; it fosters a collaborative environment ripe for learning and innovation.However, it's worth noting that DeepRacer, while accessible, requires a commitment to learning and experimentation. Success on the track demands patience, analytical thinking, and a willingness to delve into reinforcement learning principles.In conclusion, AWS DeepRacer is more than a race car; it's a gateway to understanding and applying machine learning in a tangible, interactive way. For developers eager to explore AI and machine learning's cutting edge, DeepRacer offers an unparalleled experience that's as educational as it is exciting. Whether you're aiming to top the leaderboards or simply curious about AI, DeepRacer is a worthy investment in your tech journey.
Top reviews from the United States
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Reviewed in the United States on March 17, 2024
Style: DeepRacerVerified Purchase
AWS DeepRacer isn't just a toy; it's a revolutionary leap into the future of autonomous vehicles and machine learning. This 1/18th scale race car is designed not just for speed but as a hands-on tool for developers to delve into the fascinating world of reinforcement learning, an advanced machine learning technique.
From unboxing to the track, DeepRacer provides an intuitive yet profound experience. Setting up the car is straightforward, thanks to comprehensive guides and AWS's developer resources. What's truly impressive is how DeepRacer demystifies complex machine learning concepts, making them accessible and engaging.
The car itself is a marvel of modern engineering, capable of navigating complex tracks fully autonomously. Through the AWS console, developers can train their models in simulated environments before deploying them to the physical DeepRacer. This seamless integration of virtual training and real-world application is a testament to AWS's innovation.
Performance-wise, DeepRacer is a thrill to watch. Observing your code translated into autonomous action on the track is both exhilarating and educational. The iterative process of tweaking models, training, and racing offers invaluable insights into reinforcement learning's nuances.
The community around AWS DeepRacer adds another layer of excitement. Competing in leagues and exchanging strategies with fellow developers worldwide is not just fun; it fosters a collaborative environment ripe for learning and innovation.
However, it's worth noting that DeepRacer, while accessible, requires a commitment to learning and experimentation. Success on the track demands patience, analytical thinking, and a willingness to delve into reinforcement learning principles.
In conclusion, AWS DeepRacer is more than a race car; it's a gateway to understanding and applying machine learning in a tangible, interactive way. For developers eager to explore AI and machine learning's cutting edge, DeepRacer offers an unparalleled experience that's as educational as it is exciting. Whether you're aiming to top the leaderboards or simply curious about AI, DeepRacer is a worthy investment in your tech journey.
From unboxing to the track, DeepRacer provides an intuitive yet profound experience. Setting up the car is straightforward, thanks to comprehensive guides and AWS's developer resources. What's truly impressive is how DeepRacer demystifies complex machine learning concepts, making them accessible and engaging.
The car itself is a marvel of modern engineering, capable of navigating complex tracks fully autonomously. Through the AWS console, developers can train their models in simulated environments before deploying them to the physical DeepRacer. This seamless integration of virtual training and real-world application is a testament to AWS's innovation.
Performance-wise, DeepRacer is a thrill to watch. Observing your code translated into autonomous action on the track is both exhilarating and educational. The iterative process of tweaking models, training, and racing offers invaluable insights into reinforcement learning's nuances.
The community around AWS DeepRacer adds another layer of excitement. Competing in leagues and exchanging strategies with fellow developers worldwide is not just fun; it fosters a collaborative environment ripe for learning and innovation.
However, it's worth noting that DeepRacer, while accessible, requires a commitment to learning and experimentation. Success on the track demands patience, analytical thinking, and a willingness to delve into reinforcement learning principles.
In conclusion, AWS DeepRacer is more than a race car; it's a gateway to understanding and applying machine learning in a tangible, interactive way. For developers eager to explore AI and machine learning's cutting edge, DeepRacer offers an unparalleled experience that's as educational as it is exciting. Whether you're aiming to top the leaderboards or simply curious about AI, DeepRacer is a worthy investment in your tech journey.
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