{"product_id":"machine-learning-on-commodity-tiny-devices-theory-and-practice-9781032374239","title":"Machine Learning on Commodity Tiny Devices: Theory and Practice","description":"\u003cp\u003eThis book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eSong Guo\u003c\/strong\u003e is a Full Professor leading the Edge Intelligence Lab and Research Group of Networking and Mobile Computing at the Hong Kong Polytechnic University. Professor Guo is a Fellow of the Canadian Academy of Engineering, Fellow of the IEEE, Fellow of the AAIA and Clarivate Highly Cited Researcher.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eQihua Zhou\u003c\/strong\u003e is a PhD student with the Department of Computing at the Hong Kong Polytechnic University. His research interests include distributed AI systems, large-scale parallel processing, TinyML systems and domain-specific accelerators.\u003c\/p\u003e\u003cbr\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":50486548300050,"sku":"9781032374239","price":101.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_72db9590-b931-40a1-a6e2-7a4a6b297e36.jpg?v=1730429252","url":"https:\/\/surprise-castle.myshopify.com\/products\/machine-learning-on-commodity-tiny-devices-theory-and-practice-9781032374239","provider":"Surprise Castle","version":"1.0","type":"link"}