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Books > Professional & Technical > Energy technology & engineering > Electrical engineering

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Deep In-memory Architectures for Machine Learning (Hardcover, 1st ed. 2020) Loot Price: R2,584

Discovery Miles 25 840

Repayment Terms: R242 pm x 12*

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Deep In-memory Architectures for Machine Learning (Hardcover, 1st ed. 2020): Mingu Kang, Sujan Gonugondla, Naresh R. Shanbhag

Deep In-memory Architectures for Machine Learning (Hardcover, 1st ed. 2020)

Mingu Kang, Sujan Gonugondla, Naresh R. Shanbhag

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Loot Price R2,584 Discovery Miles 25 840 | Repayment Terms: R242 pm x 12*

Expected to ship within 12 - 17 working days

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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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	2020
First published:	2020
Authors:	Mingu Kang • Sujan Gonugondla • Naresh R. Shanbhag
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	174
Edition:	1st ed. 2020
ISBN-13:	978-3-03-035970-6
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	3-03-035970-0
Barcode:	9783030359706