Deep In-memory Architectures for Machine Learning - Naresh R. Shanbhag,Sujan Gonugondla,Mingu Kang
-35% su kodu BOOKS
Pristatymas per 12-18 d.d.
30 dienų grąžinimo politika
This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in har ... Visas aprašymas
Jums taip pat gali patikti
Aprašymas
This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.
Daugiau informacijos
| Autorius | Naresh R. Shanbhag, Sujan Gonugondla, Mingu Kang |
|---|---|
| Leidėjas | Springer Nature Switzerland |
| Išleidimo metai | 2021 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9783030359737 |