Tiny ML: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Mi

Description: FREE SHIPPING UK WIDE Tiny ML by Pete Warden, Daniel Situnayake Deep 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 youll 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 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, Googles toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size FORMAT Paperback LANGUAGE English CONDITION Brand New Author Biography Pete 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 Daniel 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. Details ISBN1492052043 Author Daniel Situnayake Language English ISBN-10 1492052043 ISBN-13 9781492052043 Format Paperback Year 2020 Subtitle Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers Place of Publication Sebastopol Country of Publication United States DEWEY 006.31 Short Title TinyML AU Release Date 2020-01-03 NZ Release Date 2020-01-03 Pages 501 Imprint OReilly Media Birth 20081027 Affiliation Emeritus Professor of Mental Health and Cultural Diversity, Health Service & Population Research Department, Institute of Psychiatry, Kings College London, UK Position Emeritus Professor of Mental Health and Cultural Diversity Qualifications MD Publication Date 2020-01-21 UK Release Date 2020-01-21 Publisher OReilly Media Audience Professional & Vocational US Release Date 2020-01-21 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:126466018;

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