Book

TinyML Cookbook

Running machine learning on microcontrollers enables everyday objects to make smarter decisions through minimum interactions with the end user. This book features useful and exciting recipes that help you combine the capabilities of embedded ultra-low-power systems and machine learning for AI-powered IoT devices.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
11h28m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 11h28m total length

1. Getting Started with TinyML
2. Prototyping with Microcontrollers
3. Building a Weather Station with TensorFlow Lite for Microcontrollers
4. Voice Controlling LEDs with Edge Impulse
5. Indoor Scene Classification with TensorFlow Lite for Microcontrollers and the Arduino Nano
6. Building a Gesture-Based Interface for YouTube Playback
7. Running a Tiny CIFAR-10 Model on a Virtual Platform with the Zephyr OS
8. Toward the Next TinyML Generation with microNPU

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