EV18H79A

Microchip Technology
579-EV18H79A
EV18H79A

Gam.:

Aprašymas:
Daugiafunkcinių Jutiklių Kūrimo Įrankiai ML-TDK with IMU-14

Prieinamumas: 3

Turime sandėlyje:
3 Galime išsiųsti iš karto
Gamintojo numatytas pristatymo laikas
3 Savaičių Apytikriai apskaičiuotas gamybos laikas gamykloje, jei dalių kiekis didesnis nei nurodyta.
Min. 1   Užsakoma po 1
Vieneto kaina:
-,-- €
Plėt. Kaina:
-,-- €
Numatomas Įkainis:
Šis Produktas Siunčiamas NEMOKAMAI

Kainodara (EUR)

Qty. Vieneto kaina
Plėt. Kaina
58,89 € 58,89 €

Produkto Požymis Atributo vertė Pasirinkite Požymį
Microchip
Gaminio kategorija: Daugiafunkcinių Jutiklių Kūrimo Įrankiai
Evaluation Kits
SAMD21G18
Prekės Ženklas: Microchip Technology
Skirta naudoti su: SAMD21G18 Microcontroller
Gaminio tipas: Multiple Function Sensor Development Tools
Gamyklinės pakuotės kiekis: 1
Subkategorija: Development Tools
Rasta produktų:
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Pasirinkti atributai: 0

CNHTS:
8543709990
USHTS:
8473305100
ECCN:
EAR99

Sensor Development Kits

Microchip Technology Sensor Development Kits make it possible to accomplish a specific task or act as a use case for design projects. These simple and flexible development kits help realize project needs by supporting multiple sensor technologies, devices, and architectures.

Engineering Development Tools

Microchip Technology Engineering Development Tools offer a range of boards to support silicon products, from simple boards to high-end debug tools. These tools can be used in various applications and specific vertical markets like metering, motor control, and power supplies. These boards include analog and digital IC, communication, development software, embedded, optoelectronic, power management, RF/wireless, and sensor development.

Machine Learning

Microchip Technology Machine Learning (ML) involves selecting software and hardware tool kits, reference designs, and silicon platforms where a simplified, easy-to-use environment with advanced performance is required. Microchip Technology ML algorithms are easy to collect and organize data, train neural networks in data centers, or implement optimized inference on the edge. The extensive Microchip portfolio of silicon devices includes microcontrollers (MCUs), microprocessors (MPUs), and Field-Programmable Gate Arrays (FPGAs). The software toolkits allow the use of popular ML frameworks, including TensorFlow, Keras, Caffe, and many others covered by the ONNX umbrella, as well as those found within TinyML and TensorFlow Lite.