Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing - Hardware Architectures

  • CategoryOther
  • TypeE-Books
  • LanguageEnglish
  • Total size93 MB
  • Uploaded Byfreecoursewb
  • Downloads50
  • Last checkedOct. 11th '23
  • Date uploadedOct. 10th '23
  • Seeders 6
  • Leechers1

Infohash : 617E2674CEF888C4F369E721F69982864AB185DB

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures



https://DevCourseWeb.com

English | 2023 | ISBN-10: 3031195671 | 426 pages| Epub PDF (True) | 93 MB

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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