{"product_id":"tinyml-cookbook-combine-artificial-intelligence-and-ultra-low-power-embedded-devices-to-make-the-world-smarter-paperback","title":"TinyML Cookbook: Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter - Paperback","description":"\u003cp\u003eby \u003cb\u003eGian Marco Iodice\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWork through over 50 recipes to develop smart applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico using the power of machine learning\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eTrain and deploy ML models on Arduino Nano 33 BLE Sense and Raspberry Pi Pico\u003c\/li\u003e\n\u003cli\u003eWork with different ML frameworks such as TensorFlow Lite for Microcontrollers and Edge Impulse\u003c\/li\u003e\n\u003cli\u003eExplore cutting-edge technologies such as microTVM and Arm Ethos-U55 microNPU\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book explores TinyML, a fast-growing field at the unique intersection of machine learning and embedded systems to make AI ubiquitous with extremely low-powered devices such as microcontrollers.\u003c\/p\u003e\u003cp\u003eThe TinyML Cookbook starts with a practical introduction to this multidisciplinary field to get you up to speed with some of the fundamentals for deploying intelligent applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico. As you progress, you'll tackle various problems that you may encounter while prototyping microcontrollers, such as controlling the LED state with GPIO and a push-button, supplying power to microcontrollers with batteries, and more. Next, you'll cover recipes relating to temperature, humidity, and the three \"V\" sensors (Voice, Vision, and Vibration) to gain the necessary skills to implement end-to-end smart applications in different scenarios. Later, you'll learn best practices for building tiny models for memory-constrained microcontrollers. Finally, you'll explore two of the most recent technologies, microTVM and microNPU that will help you step up your TinyML game.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be well-versed with best practices and machine learning frameworks to develop ML apps easily on microcontrollers and have a clear understanding of the key aspects to consider during the development phase.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the relevant microcontroller programming fundamentals\u003c\/li\u003e\n\u003cli\u003eWork with real-world sensors such as the microphone, camera, and accelerometer\u003c\/li\u003e\n\u003cli\u003eRun on-device machine learning with TensorFlow Lite for Microcontrollers\u003c\/li\u003e\n\u003cli\u003eImplement an app that responds to human voice with Edge Impulse\u003c\/li\u003e\n\u003cli\u003eLeverage transfer learning to classify indoor rooms with Arduino Nano 33 BLE Sense\u003c\/li\u003e\n\u003cli\u003eCreate a gesture-recognition app with Raspberry Pi Pico\u003c\/li\u003e\n\u003cli\u003eDesign a CIFAR-10 model for memory-constrained microcontrollers\u003c\/li\u003e\n\u003cli\u003eRun an image classifier on a virtual Arm Ethos-U55 microNPU with microTVM\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for machine learning developers\/engineers interested in developing machine learning applications on microcontrollers through practical examples quickly. Basic familiarity with C\/C++, the Python programming language, and the command-line interface (CLI) is required. However, no prior knowledge of microcontrollers is necessary.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 344\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.72 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 01, 2022\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51783079231776,"sku":"9781801814973","price":74.86,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/1439d94b8664a8ac8815d295ed769aff.webp?v=1780579744","url":"https:\/\/ebocreations.com\/products\/tinyml-cookbook-combine-artificial-intelligence-and-ultra-low-power-embedded-devices-to-make-the-world-smarter-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}