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Ever wondered how to build a small intelligent device that reacts to sounds like a keyword being spoken, recognizes gestures like waving a magic wand, or even recognize faces?
With this kit combined with the power of Tiny Machine Learning (TinyML) you can do all of that and much more! We want to show you how these possibilities can be part of your own tiny smart device!
The Tiny Machine Learning Kit, combined with the exciting TinyML Applications and Deploying TinyML on Microcontrollers courses that are part of the Tiny Machine Learning (TinyML) specialization from EdX will equip you with all the tools you need to bring your ML visions to life!
The kit consists of a powerful board equipped with a microcontroller and a wide variety of sensors (Arduino Nano 33 BLE Sense** without humidity sensor). The board can sense movement, acceleration, rotation, temperature, humidity, barometric pressure, sounds, gestures, proximity, colour, and light intensity.
The kit also includes a camera module (OV7675) and a custom Arduino shield to make it easy to attach your components and create your very own unique TinyML project. You will be able to explore practical ML use cases using classical algorithms as well as deep neural networks powered by TensorFlow Lite Micro. The possibilities are limited only by your imagination!
“The Future of Machine Learning is Tiny and Bright. We’re excited to see what you’ll do!”
- Prof. Vijay Janapa Reddi, Harvard University and Pete Warden, Google
** For us to be able to have this kit back in stock Arduino have produced a Nano 33 BLE Sense without the humidity sensor. This change does not affect this kit's usage and/or content experience. This board is fully compatible with the standard documentation.
The Tiny Machine Learning Kit includes:
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