Sudeep Pasricha,
Muhammad Shafique
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Hardware Architectures
Paperback Engels 2024 9783031195709
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783031195709
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
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Inhoudsopgave
<p>Introduction.- Efficient Hardware Acceleration for Embedded Machine Learning.- Memory Design and Optimization for Embedded Machine Learning.- Efficient Software Design of Embedded Machine Learning.- Hardware-Software Co-Design for Embedded Machine Learning.- Emerging Technologies for Embedded Machine Learning.- Mobile, IoT, and Edge Application Use-Cases for Embedded Machine Learning.- Cyber-Physical Application Use-Cases for Embedded Machine Learning.</p>
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