Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Hardware Architectures
Bemærk venligst, at den normale 14 dages fortrydelsesret ophører ved modtagelse af adgang til e-bogen.
Produkt beskrivelse
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.
Oplysninger om tilgængelighed
Vælg variant af e-bog i højre side, for at se tilgængelighedsoplysninger.
Detaljer
- ISBN13 9783031195686
- Udgivet 2023
- Forlag Springer
- Sprog Engelsk