The 2 Best Building Machine Learning Projects With Tensorflow
Nowadays, there are so many products of building machine learning projects with tensorflow in the market and you are wondering to choose a best one. You have searched for building machine learning projects with tensorflow in many merchants, compared about products prices & reviews before deciding to buy them.
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Here are some of best sellings building machine learning projects with tensorflow which we would like to recommend with high customer review ratings to guide you on quality & popularity of each items.
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SparkFun JetBot AI Kit Powered by NVIDIA Jetson Nano Machine Learning Chassis Assembly Offers Expandable Architecture Pre-flashed microSD Card 145° FOV Camera for Machine Vision 4X Qwiic connectors
- Powered by the Jetson Nano Developer Kit by NVIDIA
- Create AI projects for makers, students and enthusiasts who are interested in learning AI and building fun applications
- Program the JetBot to follow objects, avoid collisions and more
- Supports other popular AI frameworks popular AI frameworks like TensorFlow, PyTorch, Caffe, and MXNet
- Jetson Nano is capable of running multiple neural networks in parallel to process data and drive action
The SparkFun JetBot AI Kit is a robot platform powered by the Jetson Nano Developer Kit by NVIDIA. This SparkFun kit is based on the open-source NVIDIA JetBot! We understand that not everyone has access to multiple 3D printers on each floor, and a whole warehouse of electronics so we wanted to build a kit from ready to assemble parts to get you up and running as quickly as possible. The SparkFun JetBot AI Kit is a great launchpad for creating entirely new AI projects for makers, students and enthusiasts who are interested in learning AI and building fun applications. It’s straightforward to set up and use and is compatible with many popular accessories. Several interactive tutorials show you how to harness the power of AI to teach the SparkFun JetBot to follow objects, avoid collisions and more. The Jetson Nano Developer Kit offers useful tools like the Jetson GPIO Python library, and is compatible with common sensors and peripherals; including some new python compatibility with the SparkFun Qwiic ecosystem. Delivered with the advanced functionality of JetBot ROS (Robot Operating System) and AWS RoboMaker Ready with AWS IoT Greengrass already installed. SparkFun’s JetBot AI Kit is the only kit currently on the market ready to move beyond the standard JetBot examples and into the world of connected and intelligent robotics. Many other popular AI frameworks popular AI frameworks like TensorFlow, PyTorch, Caffe, and MXNet are supported, and Jetson Nano is capable of running multiple neural networks in parallel to process data and drive action. Please be aware that the ability to run multiple neural networks in parallel may only be possible with a full 5V-4A power supply. This kit includes everything you need to get started with JetBot minus a Phillips head screwdriver, a basic soldering setup, and an Ubuntu desktop GUI.
XiaoR Geek Donkey Car Starter Kit Open Source DIY Self Driving Platform for Small Scale Cars Jetson Nano AI Smart Robot Car(Upgraded Version)
- 1. This donkey car is made based on NVIDIA JETSON Nano, Jetson is the world’s leading AI computing platform for GPU accelerated parallel processing in mobile embedded systems.
- 2. The AI line patrol robot car based on machine intelligence and deep learning framework Tensorflow.
- 3. Camera vision automatic line-tracking: when the camera detects the line in the pictures, automatically patrol lines and correct directions according to the unique algorithms.
- 4. Machine learning Tensor Flow: Google based open source machine learning framework, TensorFlow optimizes related algorithms to make the car smarter.
- 5. The robot is equipped with a camera, uses Jetson nano as the main control platform to supports mobile phone APP through wireless remote control and real-time video transmission. After a period of training, the car can automatically turn and accelerate according to the video “seeing” of the camera to achieve a primary autopilot function similar to Tesla’s autonomous driving technology.
Donkey car starter kit comes with dedicated training map(300*200cm).
The donkey car sets also compatible with Raspberry Pi 3B+. If you want to use Raspberry Pi, please contact us by [email protected] to get the Raspberry Pi 3B+ Materials.
Package List:
1 × Jetson Nano(Not include)
1 × PWR.A53.A power and motor Drive board
1 × 16G micro SD Card
1 × Card reader
1 × Wireless NIC module
1 × USB Camera
2 × TT motor
4 × Wheel
1 × battery case
1 × Rubber steering wheel
2 × Hexagonal seat
1 × Car body
1 × Cloud pedestal
1 × Multsssssi-functional bracket
2 × 01 camera holder
2 × Steering piece
1 × 02 camera seat
1 × Cross sleeve
1 × Steering structure 01
1 × Steering structure 02
1 × Long/short rod
1 × SG90 servo
1 × Front baffle
1 × Tail
1 × Chassis
Hardware package
Note:
1.The smart robot car is just one of the donkey cars.
2.The robot car uses donkey car source code.
3. Detailed tutorial of how to assemble the robot car from scratch and all the necessary programs and codes are included.
4. Not include Jetson Nano development kit and battery, you need to additional install Jetson Nano and 3 pieces of 18650 battery in the car.
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Conclusion
By our suggestions above, we hope that you can found building machine learning projects with tensorflow for you.Please don’t forget to share your experience by comment in this post. Thank you!