Tinyml
Tinyml
Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary.
Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures
Work with Arduino and ultra-low-power microcontrollers
Learn the essentials of ML and how to train your own models
Train models to understand audio, image, and accelerometer data
Explore TensorFlow Lite for Microcontrollers, Google's toolkit for TinyML
Debug applications and provide safeguards for privacy and security
Optimize latency, energy usage, and model and binary size
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Descrierea produsului
Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary.
Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures
Work with Arduino and ultra-low-power microcontrollers
Learn the essentials of ML and how to train your own models
Train models to understand audio, image, and accelerometer data
Explore TensorFlow Lite for Microcontrollers, Google's toolkit for TinyML
Debug applications and provide safeguards for privacy and security
Optimize latency, energy usage, and model and binary size
Detaliile produsului