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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing - Hardware Architectures (Hardcover, 1st ed. 2023) Loot Price: R3,167
Discovery Miles 31 670
Repayment Terms: R297 pm x 12*
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing - Hardware Architectures (Hardcover, 1st ed. 2023):...

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing - Hardware Architectures (Hardcover, 1st ed. 2023)

Sudeep Pasricha, Muhammad Shafique

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Loot Price R3,167 Discovery Miles 31 670 | Repayment Terms: R297 pm x 12*

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This 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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: October 2023
First published: 2023
Editors: Sudeep Pasricha • Muhammad Shafique
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 592
Edition: 1st ed. 2023
ISBN-13: 978-3-03-119567-9
Categories: Books
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LSN: 3-03-119567-1
Barcode: 9783031195679

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