{"product_id":"tinyml-machine-learning-with-tensorflow-lite-on-arduino-and-ultra-low-power-microcontrollers-9781492052043","title":"Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers","description":"\u003cp\u003eDeep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size--small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. As of early 2022, the supplemental code files are available at https: \/\/oreil.ly\/XuIQ4. \u003c\/p\u003e\u003cp\u003e 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. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eBuild a speech recognizer, a camera that detects people, and a magic wand that responds to gestures \u003c\/li\u003e\n\u003cli\u003eWork with Arduino and ultra-low-power microcontrollers \u003c\/li\u003e\n\u003cli\u003eLearn the essentials of ML and how to train your own models \u003c\/li\u003e\n\u003cli\u003eTrain models to understand audio, image, and accelerometer data \u003c\/li\u003e\n\u003cli\u003eExplore TensorFlow Lite for Microcontrollers, Google's toolkit for TinyML \u003c\/li\u003e\n\u003cli\u003eDebug applications and provide safeguards for privacy and security \u003c\/li\u003e\n\u003cli\u003eOptimize latency, energy usage, and model and binary size\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePete Warden is technical lead for mobile and embedded TensorFlow. He was CTO and founder of Jetpac, which was acquired by Google in 2014, and previously worked at Apple. He was a founding member of the TensorFlow team, and blogs about practical deep learning at https: \/\/petewarden.com.\u003c\/p\u003e\n\u003cp\u003eDaniel Situnayake leads developer advocacy for TensorFlow Lite at Google. He co-founded Tiny Farms, the first US company using automation to produce insect protein at industrial scale. He began his career lecturing in automatic identification and data capture at Birmingham City University.\u003c\/p\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":50556780577042,"sku":"9781492052043","price":35.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_9933cb5d-3215-4701-a25a-1ddb4dff41b1.jpg?v=1731764495","url":"https:\/\/surprise-castle.myshopify.com\/products\/tinyml-machine-learning-with-tensorflow-lite-on-arduino-and-ultra-low-power-microcontrollers-9781492052043","provider":"Surprise Castle","version":"1.0","type":"link"}