Arduino AKX00028 -laajennusmoduuli
FBAC4895-B52C-4E03-B099-A6A8F8B8017B Created with sketchtool. 706D6907-81E1-46A2-B8F9-7B702A1EF2C7 Created with sketchtool. 6A870209-E7F5-44F5-A66F-09E20C85A0DC Created with sketchtool. 0BB04D6C-A9AB-4913-BF4F-5A23954E68E1 Created with sketchtool. 501E26C7-66C1-4DAA-B740-6CFAF55A1B39 Created with sketchtool. C105F7D3-D5EE-43C9-9EE8-05CC42B296D4 Created with sketchtool. D94689D8-7CBB-41C8-AC06-F79D81FF82D5 Created with sketchtool. DA4C7ED9-2512-4D52-94F0-92800F2A6E04 Created with sketchtool. 42E133FD-828F-4CF4-A0BF-560014487A57 Created with sketchtool. F52D9745-4BFD-4506-BEEF-630FD09EF2D9 Created with sketchtool.
Etävarastossa
Tuotetta on etävarastossamme, toimitusaika noin 5-7 työpäivää. Lisätietoja

Bring - Toimitus huoltopisteeseen

Katso kuljetusvaihtoehdot
Bring - Toimitus huoltopisteeseenGratis
Bring - Kotiinkuljetus -arkisin.24,80
EUR 98,77
ilman ALV 79,65
Kokonaishinta sis. toimitus 98,77
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). The board can sense movement, acceleration, rotation, barometric pressure, sounds, gestures, proximity, color, and light intensity. The kit also includes a camera module (OV7675) and 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!