{"product_id":"embedded-ai-intelligence-at-the-deep-edge-isbn-9781718504905","title":"Embedded AI: Intelligence at the Deep Edge","description":"\u003cb\u003eA project-driven guide to designing, training, and deploying artificial intelligence directly on embedded hardware, showing how to build intelligent, autonomous systems under real-world constraints.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eYou already know how to build embedded systems. Now it’s time to make them intelligent.\u003cbr\u003e\u003cbr\u003eAdding AI to an embedded device takes more than training a model. You have to choose the right hardware, collect and prepare data, deploy models to resource-constrained devices, and integrate everything into a system that performs reliably.\u003cbr\u003e\u003cbr\u003eDrawing on more than 30 years of embedded engineering experience, David Such takes you through the complete engineering process. You’ll work through more than 25 hands-on projects (complete with downloadable source code, schematics, PCB designs, and datasets); no machine learning experience required.\u003cbr\u003e\u003cbr\u003eYou’ll build:\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eA wake-word detector that responds to your voice\u003c\/li\u003e\n\u003cli\u003eA real-time AI noise suppressor\u003c\/li\u003e\n\u003cli\u003eAn AI-powered MIDI synthesizer that composes music\u003c\/li\u003e\n\u003cli\u003eA battery monitor that collects its own training data\u003c\/li\u003e\n\u003cli\u003eA person detector that runs a neural network on a camera board \u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eWhether you’re an embedded developer adding AI to your products, a machine learning practitioner moving onto embedded hardware, or a maker ready to move beyond beginner projects, Embedded AI teaches you the engineering decisions behind every design. When the breadboard is flaky, the sensor data is noisy, or the tensor arena is too small, you’ll know how to fix it—and why.\u003cbr\u003e\u003cbr\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e \u003cbr\u003eMost projects require an Arduino UNO or Raspberry Pi Pico; a few use specialized boards. You’ll also need to download some free software, including Python with TensorFlow, Arduino IDE, and Raspberry Pi Pico SDK.","brand":"Penguin Random House","offers":[{"title":"Default Title","offer_id":48532143866085,"sku":"NP9781718504905","price":79.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781718504905.jpg?v=1787602911","url":"https:\/\/k12savings.com\/es\/products\/embedded-ai-intelligence-at-the-deep-edge-isbn-9781718504905","provider":"K12savings","version":"1.0","type":"link"}