SEK 0,00
(fraktkostnad: 0,00)
Arduino Tiny Machine Learning Kit - Gör det själv-kit nRF52840 / 64 MHz - RAM 256 KB - Blixt 1 MB
Art.nr.: [7263024] | Tillverkare: ARDUINO | Modell-nr.: AKX00028 | EAN: 7630049202771
Fjärrlager (4-5 arbetsdagar)
Varan finns i vårt fjärrlager, leveranstiden är 4-5 arbetsdagar. Mer info
Frakt 49,00 - Instabox - Välj själv närmaste paketbox
Se alla alternativ
| Instabox - Välj själv paketbox | 49,00 |
| Bring – Hämta nära dig | 49,00 |
| Bring - Hemleverans - Levereras till din dörr på vardagar mellan 17:00 och 22:00. | 135,00 |
| Budbee - Hemleverans - Levereras på eftermiddagen eller kvällen. | 69,00 |
SEK
898,00
ex. moms 718,40
Totalt inkl. frakt
947,00
Funktionen kräver att man är inloggad. Skapa en användare och gör bruk av vårt smarta listsystem till att hålla koll på framtidiga köp, regelbundna köp eller önskelistor.
Skapa användare
Login
Skapa användare
Login
Send på mail
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!
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!