Iodice TinyML Cookbook

Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
1. Auflage 2022
ISBN: 978-1-80181-263-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 344 Seiten

No detailed description available for "TinyML Cookbook".

Autoren/Hrsg.

Iodice, Gian Marco

Weitere Mitwirkende

Naughton, Ronan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - Getting Started with TinyML
- Prototyping with Microcontrollers
- Building a Weather Station with TensorFlow Lite for Microcontrollers
- Voice Controlling LEDs with Edge Impulse
- Indoor Scene Classification with TensorFlow Lite for Microcontrollers and the Arduino Nano
- Building a Gesture-Based Interface for YouTube Playback
- Running a Tiny CIFAR-10 Model on a Virtual Platform with the Zephyr OS
- Toward the Next TinyML Generation with microNPU

Über Autor(innen)

Iodice Gian Marco:

Gian Marco Iodice is team and tech lead in the Machine Learning Group at Arm, who co-created the Arm Compute Library in 2017. The Arm Compute Library is currently the most performant library for ML on Arm, and it's deployed on billions of devices worldwide – from servers to smartphones. Gian Marco holds an MSc degree, with honors, in electronic engineering from the University of Pisa (Italy) and has several years of experience developing ML and computer vision algorithms on edge devices. Now, he's leading the ML performance optimization on Arm Mali GPUs. In 2020, Gian Marco cofounded the TinyML UK meetup group to encourage knowledge-sharing, educate, and inspire the next generation of ML developers on tiny and power-efficient devices.