{"product_id":"embedded-tinyml-pete-richards-9798276549736","title":"Embedded TinyML: A Hands-on Guide to Deploying Intelligent and Advanced AI on Resource-Constrained Microcontrollers","description":"\u003cp\u003e\u003cb\u003eBridge the gap between Python-based Machine Learning and C++ Embedded Systems with this comprehensive, hands-on guide to TensorFlow Lite for Microcontrollers.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAre you a Data Scientist\u003c\/b\u003e who feels limited by the cloud? \u003cb\u003eAre you a Firmware Engineer\u003c\/b\u003e ready to add intelligence to your devices?\u003c\/p\u003e\u003cp\u003eWe are living through a quiet revolution. While the world focuses on massive Large Language Models in server farms, a more pervasive shift is happening at the \u003ci\u003eedge\u003c\/i\u003e. Intelligence is moving from the cloud to the sensor, enabling devices to see, hear, and feel without internet connectivity, latency, or privacy concerns.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eEmbedded TinyML\u003c\/i\u003e is your field guide to this new frontier.\u003c\/p\u003e\u003cp\u003eThis book is not a theoretical treatise. It is a rigorous engineering roadmap designed to take you from the physics of silicon to the deployment of quantized neural networks on resource-constrained microcontrollers.\u003c\/p\u003e\u003cp\u003eUsing industry-standard hardware like the \u003cb\u003eESP32\u003c\/b\u003e, \u003cb\u003eArduino Nano 33 BLE Sense\u003c\/b\u003e, and \u003cb\u003eSTM32\u003c\/b\u003e, you will learn to build systems that run on coin-cell batteries for years.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eThe Philosophy of Constraints: \u003c\/b\u003e How to turn memory limits (kB) and clock speeds (MHz) into drivers for efficient engineering.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eThe Hardware Stack: \u003c\/b\u003e Deep dives into ARM Cortex-M architecture, DSPs, and NPUs.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEnergy Profiling: \u003c\/b\u003e Master power management strategies to measure and minimize consumption per inference.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eModel Optimization: \u003c\/b\u003e A complete breakdown of \u003cb\u003eQuantization\u003c\/b\u003e (Int8 vs Float32), Pruning, and Architecture Search.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eTensorFlow Lite Micro: \u003c\/b\u003e Navigate the TFLite ecosystem, from training in Keras\/Python to C++ deployment.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eBuild Four Real-World Projects: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003e1. Proprioception: \u003c\/b\u003e Build a multi-class gesture recognition wand using IMU sensor fusion.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003e2. Vision: \u003c\/b\u003e Create a privacy-preserving \"Visual Wake-Word\" detector on low-res camera modules.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003e3. Industrial IoT: \u003c\/b\u003e Develop an unsupervised Anomaly Detection system for predictive maintenance on vibrating machinery.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003e4. Voice Interface: \u003c\/b\u003e Engineer a two-stage keyword spotting pipeline for voice control.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether you are building a smart home device, a health wearable, or an industrial sensor, this book provides the code, the theory, and the strategy to deploy AI where it matters most: \u003cb\u003eat the edge.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStop uploading raw data. Start deploying intelligence.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eScroll up and grab your copy today to join the TinyML revolution.\u003c\/i\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Pete Richards\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798276549736\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/28\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 228\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.89lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.48d","brand":"Pete Richards","offers":[{"title":"Paperback","offer_id":48997273534719,"sku":"9798276549736","price":17.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/embedded-tinyml-pete-richards-9798276549736","provider":"WR Book House","version":"1.0","type":"link"}