{"product_id":"machine-learning-on-commodity-tiny-devices-theory-and-practice-9781032374260","title":"Machine Learning on Commodity Tiny Devices: Theory and Practice","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 250 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 19 December 2024\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e\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\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 453g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 254 x 178 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032374260\u003c\/p\u003e","brand":"Song Guo,Qihua Zhou","offers":[{"title":"Paperback \/ softback","offer_id":47870184030458,"sku":"9781032374260","price":45.68,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1761364938956_book.jpg?v=1761465993","url":"https:\/\/shulphink.com\/products\/machine-learning-on-commodity-tiny-devices-theory-and-practice-9781032374260","provider":"Shulph Ink","version":"1.0","type":"link"}