{"product_id":"embedded-machine-learning-for-cyber-physical-sudeep-pasricha-9783031195679","title":"Embedded Machine Learning for Cyber-Physical, Iot, and Edge Computing: Hardware Architectures","description":"\u003cp\u003eThis book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Sudeep Pasricha\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 3031195671\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9783031195679\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Springer\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/02\/2023\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 412\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.70lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.94d","brand":"Sudeep Pasricha","offers":[{"title":"Hardcover","offer_id":44123019837695,"sku":"9783031195679","price":119.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_9599fba6-15cf-494b-95c6-23ba14724e7b.jpg?v=1687428460","url":"https:\/\/www.whiterainbookhouse.com\/products\/embedded-machine-learning-for-cyber-physical-sudeep-pasricha-9783031195679","provider":"WR Book House","version":"1.0","type":"link"}