Adafruit TinyML: Machine Learning with TensorFlow Lite

With deep learning and embedded systems integration, this guide takes miniature AI applications to new heights. Delve into the realm of TinyML—where models as small as 14 kilobytes enable functionality on microcontrollers.

Unlock the potential to mold your own model for various tasks such as speech recognition, person detection, and gesture-based magic wands utilizing Arduino and ultra-low-power microcontrollers.

• Comprehensive insights into ML model training and deployment on embedded devices.
• Step-by-step guide for creating applications with real-world applicability.
• Learn to utilize TensorFlow Lite for Microcontrollers to optimize latency, energy, and model size.
• No prior experience in machine learning or microcontroller programming needed. Enjoy building projects like a camera that identifies human presence or a wand recognizing gestures.
• Safeguard your inventive solutions with privacy and security measures, making them reliable and deployable in varied environments.