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Application of FPGA to Real-Time Machine Learning - 14 Angebote vergleichen
Bester Preis: Fr. 5.01 (€ 5.12)¹ (vom 13.09.2019)Application of FPGA to Realand#8208;time Machine Learning: Hardware Reservoir Computers and Software Image Processing (2019)
ISBN: 9783030081645 bzw. 3030081648, in Deutsch, Springer, neu, Nachdruck.
New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Application of FPGA to Realand#8208;time Machine Learning: Hardware Reservoir Computers and Software Image Processing (2019)
ISBN: 9783030081645 bzw. 3030081648, in Deutsch, Springer, neu, Nachdruck.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Application of FPGA to Real?time Machine Learning: Hardware Reservoir Computers and Software Image Processing (Paperback) (2019)
ISBN: 9783030081645 bzw. 3030081648, in Deutsch, Springer, United States, Taschenbuch, neu.
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.
Application of FPGA to RealTime Machine Learning - Hardware Reservoir Computers and Software Image Processing
ISBN: 9783319910536 bzw. 3319910531, vermutlich in Englisch, Springer International Publishing, neu, E-Book, elektronischer Download.
Application of FPGA to RealTime Machine Learning: 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). Englisch, Ebook.
Application of FPGA to Real‐Time Machine Learning
ISBN: 9783319910536 bzw. 3319910531, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
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. eBook.
Application of FPGA to Real-Time Machine Learning (2018)
ISBN: 9783319910536 bzw. 3319910531, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
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 lig.
Application of FPGA to Real-Time Machine Learning
ISBN: 9783319910536 bzw. 3319910531, vermutlich in Englisch, Springer-Verlag GmbH, Taschenbuch, neu.
Application of FPGA to Real-Time Machine Learning (2018)
ISBN: 9783319910529 bzw. 3319910523, in Deutsch, 171 Seiten, Springer, Berlin Springer International Publishing Springer, gebundenes Buch, neu, Erstausgabe.
Von Händler/Antiquariat, Moluna GmbH, [5901482].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Application of FPGA to Real‐time Machine Learning: Hardware Reservoir Computers and Software Image Processing
ISBN: 9783030081645 bzw. 3030081648, in Deutsch, Springer Nature Customer Service Center Gmbh, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Application of FPGA to Real-Time Machine Learning - Hardware Reservoir Computers and Software Image Processing
ISBN: 9783319910529 bzw. 3319910523, in Deutsch, Springer-Verlag Gmbh, gebundenes Buch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen