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Application of FPGA to Real¿Time Machine Learning: Hardware Reservoir Computers and Software Image Processing

-22% su kodu: BOOKS
145,33 
Įprasta kaina: 186,32 
-22% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-22% su kodu: BOOKS
145,33 
Įprasta kaina: 186,32 
-22% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-22% su kodu: BOOKS
2025-03-31 145.33 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 10,00 

Knygos aprašymas

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.

Informacija

Autorius: Piotr Antonik
Serija: Springer Theses
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2018
Knygos puslapių skaičius: 196
ISBN-10: 3319910523
ISBN-13: 9783319910529
Formatas: 241 x 160 x 17 mm. Knyga kietu viršeliu
Kalba: Anglų

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