Application of FPGA to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing (Springer Theses)
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Application of FPGA to Realand#8208;time Machine Learning: Hardware Reservoir Computers and Software Image Processing (2019)
DE NW RPISBN: 9783030081645 bzw. 3030081648, in Deutsch, Springer, neu, Nachdruck.
Von Händler/Antiquariat, Paperbackshop-US [8408184], Wood Dale, IL, U.S.A.
New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Application of FPGA to Realand#8208;time Machine Learning: Hardware Reservoir Computers and Software Image Processing (2019)
DE NW RPISBN: 9783030081645 bzw. 3030081648, in Deutsch, Springer, neu, Nachdruck.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, GLOS, United Kingdom.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Application of FPGA to Real?time Machine Learning: Hardware Reservoir Computers and Software Image Processing (Paperback) (2019)
DE PB NWISBN: 9783030081645 bzw. 3030081648, in Deutsch, Springer, United States, Taschenbuch, neu.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English. Brand new Book. This book lies at the interface of machine learning - a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms fail - and photonics - the physical science of light, which underlies many of the optical communications technologies used in our information society. It provides a thorough introduction to reservoir computing and field-programmable gate arrays (FPGAs).Recently, photonic implementations of reservoir computing (a machine learning algorithm based on artificial neural networks) have made a breakthrough in optical computing possible. In this book, the author pushes the performance of these systems significantly beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author successfully interacts with the reservoir computer in real time, allowing him to considerably expand its capabilities and range of possible applications. Furthermore, the author draws on his expertise in machine learning and FPGA programming to make progress on a very different problem, namely the real-time image analysis of optical coherence tomography for atherosclerotic arteries.
Language: English. Brand new Book. This book lies at the interface of machine learning - a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms fail - and photonics - the physical science of light, which underlies many of the optical communications technologies used in our information society. It provides a thorough introduction to reservoir computing and field-programmable gate arrays (FPGAs).Recently, photonic implementations of reservoir computing (a machine learning algorithm based on artificial neural networks) have made a breakthrough in optical computing possible. In this book, the author pushes the performance of these systems significantly beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author successfully interacts with the reservoir computer in real time, allowing him to considerably expand its capabilities and range of possible applications. Furthermore, the author draws on his expertise in machine learning and FPGA programming to make progress on a very different problem, namely the real-time image analysis of optical coherence tomography for atherosclerotic arteries.
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Application of FPGA to Real‐time Machine Learning: Hardware Reservoir Computers and Software Image Processing
DE PB NWISBN: 9783030081645 bzw. 3030081648, in Deutsch, Springer Nature Customer Service Center Gmbh, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Application of FPGA to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing (Springer Theses) (2019)
EN PB NWISBN: 9783030081645 bzw. 3030081648, in Englisch, 196 Seiten, Springer, Taschenbuch, neu.
Lieferung aus: Deutschland, Noch nicht erschienen. Versandkostenfrei.
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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