0,00
(toimituskulut: 0,00)
Arduino AKX00028 -laajennusmoduuli
Tuotenumero: [7263024] | Valmistaja: ARDUINO | Mallinum: AKX00028 | EAN: 7630049202771
Etävarastossa
Tuotetta on etävarastossamme, toimitusaika noin 5-7 työpäivää. Lisätietoja
Ilmainen toimitus Budbee - Box - Valitse itse mikä laatikko
Toimituskulut on laskettu vastaanottajan postinumeron perusteella: - Vaihda postinumero
Syötä postinumero toimitusta varten:
Katso kuljetusvaihtoehdot
| Budbee Laatikko - Nouda valitsemastasi laatikosta! | Gratis |
| Bring - Toimitus huoltopisteeseen | Gratis |
| Bring - Kotiinkuljetus -arkisin. | 25,10 |
EUR
89,16
ilman ALV 71,04
Kokonaishinta sis. toimitus
89,16
Tämä toiminto vaatii sisäänkirjautumisen. Luo käyttäjä ja voit käyttää listojamme esim. säännöllisiä ostoksia ja toivelistoja varten
Luo käyttäjä
Kirjaudu
Luo käyttäjä
Kirjaudu
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!