Description: Embedded Machine Learning for Cyber-physical, Iot, and Edge Computing : Hardware Architectures, Hardcover by Pasricha, Sudeep (EDT); Shafique, Muhammad (EDT), ISBN 3031195671, ISBN-13 9783031195679, Like New Used, Free shipping in the US 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.
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Book Title: Embedded Machine Learning for Cyber-physical, Iot, and Edge Compu
Number of Pages: Xiv, 412 Pages
Publication Name: Embedded Machine Learning for Cyber-Physical, Iot, and Edge Computing
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2023
Subject: Engineering (General), Electronics / General, Cybernetics
Type: Textbook
Item Weight: 28.4 Oz
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering
Author: Muhammad Shafique
Item Width: 6.1 in
Format: Hardcover
