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Application of FPGA to RealTime Machine Learning: Hardware Reservoir Computers a

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9783319910529
Book Title
Application of FPGA to RealTime Machine Learning
ISBN
9783319910529
Subject Area
Computers, Technology & Engineering, Science
Publication Name
Application of FPGA to Real‐Time Machine Learning : Hardware Reservoir Computers and Software Image Processing
Publisher
Springer International Publishing A&G
Item Length
9.3 in
Subject
Lasers & Photonics, Physics / Optics & Light, Computer Vision & Pattern Recognition
Publication Year
2018
Series
Springer Theses Ser.
Type
Textbook
Format
Hardcover
Language
English
Author
Piotr Antonik
Item Weight
104.2 Oz
Item Width
6.1 in
Number of Pages
Xxii, 171 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3319910523
ISBN-13
9783319910529
eBay Product ID (ePID)
13038538619

Product Key Features

Number of Pages
Xxii, 171 Pages
Language
English
Publication Name
Application of FPGA to Real‐Time Machine Learning : Hardware Reservoir Computers and Software Image Processing
Publication Year
2018
Subject
Lasers & Photonics, Physics / Optics & Light, Computer Vision & Pattern Recognition
Type
Textbook
Subject Area
Computers, Technology & Engineering, Science
Author
Piotr Antonik
Series
Springer Theses Ser.
Format
Hardcover

Dimensions

Item Weight
104.2 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Number of Volumes
1 Vol.
Illustrated
Yes
Lc Classification Number
Qc685-689.55
Table of Content
Introduction.- Online Training of a Photonic Reservoir Computer.- Backpropagation with Photonics.- Photonic Reservoir Computer with Output Feedback.- Towards Online-Trained Analogue Readout Layer.- Real-Time Automated Tissue Characterisation for Intravascular OCT Scans.- Conclusion and Perspectives.
Copyright Date
2018

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Business seller information

Premier Books LLC
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