SKU/Artículo: AMZ-B0BSN62771

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

Format:

Kindle

Hardcover

Kindle

Paperback

Detalles del producto
Disponibilidad:
Fuera de stock
Peso con empaque:
0.36 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • 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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