TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers: Warden, Pete, Situnayake, Daniel

TinyML - The Revolutionary Guide to Building Embedded Systems with Deep Learning Are you ready to unlock the power of deep learning for embedded systems? Look no further than TinyML, the ultimate guide to building tiny yet powerful machine learning models.

With this comprehensive book, you'll learn how to train models small enough to fit into any environment, from microcontrollers to smartphones. No prior experience in machine learning or microcontroller programming is required - all you need is a desire to revolutionize the way we interact with technology.

Our step-by-step projects will walk you through creating speech recognizers, camera-based people detectors, and even a magic wand that responds to gestures. Working with Arduino and ultra-low-power microcontrollers, you'll learn the essentials of machine learning and how to train your own models.

Plus, you'll discover how to optimize latency, energy usage, and model and binary size for maximum efficiency. Don't miss out on this groundbreaking opportunity to transform the world of embedded systems with TinyML.

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