Téléchargez le livre : Application of FPGA to Real-Time Machine Learning

Application of FPGA to Real-Time Machine Learning

Hardware Reservoir Computers and Software Image Processing

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Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2018-05-18



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Description

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.
Pages
171 pages
Collection
Springer Theses
Parution
2018-05-18
Marque
Springer
EAN papier
9783319910529
EAN PDF
9783319910536
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
5693 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
105,49 €
EAN EPUB
9783319910536
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
4526 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
105,49 €

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