TinyML Cookbook: Combine machine learning with microcontrollers to solve real-world problems

Table of Contents

1. Getting Ready to Unlock ML on Microcontrollers
2. Unleashing Your Creativity with Microcontrollers
3. Building a Weather Station with TensorFlow Lite for Microcontrollers
4. Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands
5. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 1
6. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 2
7. Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico
8. Classifying Desk Objects with TensorFlow and the Arduino Nano
9. Building a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico
10. Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU
11. Running ML Models on Arduino and the Arm Ethos-U55 microNPU Using Apache TVM
12. Enabling Compelling tinyML Solutions with On-Device Learning and scikit-learn on the Arduino Nano and RaspberryPi Pico