Deep In-memory Architectures for Machine LearningКНИГИ » ПРОГРАММИНГ
Название: Deep In-memory Architectures for Machine Learning Автор: Mingu Kang, Sujan Gonugondla, Naresh R. Shanbhag Издательство: Springer Год: 2020 Формат: True PDF Страниц: 174 Размер: 10 Mb Язык: English
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.
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Deep In-memory Architectures for Machine Learning 
