Application of FPGA to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing: Springer Theses
Autor Piotr Antoniken Limba Engleză Hardback – 31 mai 2018
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.
Toate formatele și edițiile
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 686.83 lei 6-8 săpt. | |
Springer International Publishing – 10 ian 2019 | 686.83 lei 6-8 săpt. | |
Hardback (1) | 693.02 lei 6-8 săpt. | |
Springer International Publishing – 31 mai 2018 | 693.02 lei 6-8 săpt. |
Din seria Springer Theses
- 5% Preț: 1145.57 lei
- Preț: 387.01 lei
- 15% Preț: 642.18 lei
- 18% Preț: 1211.42 lei
- Preț: 396.36 lei
- 18% Preț: 990.53 lei
- 18% Preț: 934.11 lei
- Preț: 544.53 lei
- 15% Preț: 638.42 lei
- 15% Preț: 637.96 lei
- 15% Preț: 634.56 lei
- 20% Preț: 558.82 lei
- 18% Preț: 936.46 lei
- 18% Preț: 1108.01 lei
- 15% Preț: 635.34 lei
- 15% Preț: 635.34 lei
- Preț: 276.68 lei
- 15% Preț: 631.75 lei
- 18% Preț: 884.59 lei
- 15% Preț: 636.17 lei
- Preț: 386.85 lei
- 20% Preț: 563.89 lei
- Preț: 390.46 lei
- 15% Preț: 633.23 lei
- 15% Preț: 637.13 lei
- 18% Preț: 1104.09 lei
- 20% Preț: 551.36 lei
- 18% Preț: 1095.48 lei
- 18% Preț: 1101.73 lei
- 18% Preț: 1216.88 lei
- 18% Preț: 938.03 lei
- 18% Preț: 937.23 lei
- 15% Preț: 635.34 lei
- 18% Preț: 1220.03 lei
- 15% Preț: 635.34 lei
- 18% Preț: 1208.29 lei
- 15% Preț: 632.12 lei
- 18% Preț: 993.49 lei
- 15% Preț: 631.30 lei
- 15% Preț: 636.17 lei
- Preț: 384.36 lei
- 18% Preț: 992.09 lei
- Preț: 382.42 lei
- Preț: 382.42 lei
- 18% Preț: 1101.73 lei
- 18% Preț: 1102.53 lei
- Preț: 384.14 lei
- 15% Preț: 632.45 lei
- 20% Preț: 554.20 lei
- 20% Preț: 555.57 lei
Preț: 693.02 lei
Preț vechi: 815.31 lei
-15% Nou
Puncte Express: 1040
Preț estimativ în valută:
132.70€ • 136.74$ • 111.36£
132.70€ • 136.74$ • 111.36£
Carte tipărită la comandă
Livrare economică 21 februarie-07 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783319910529
ISBN-10: 3319910523
Pagini: 173
Ilustrații: XXII, 171 p. 68 illus., 8 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses
Locul publicării:Cham, Switzerland
ISBN-10: 3319910523
Pagini: 173
Ilustrații: XXII, 171 p. 68 illus., 8 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
Piotr Antonik was born in 1989 in Minsk, Belarus. He received his Master's degree and his PhD in physics from the Université libre de Bruxelles, Brussels, Belgium, in 2013 and 2017, respectively. He is currently a post-doctoral researcher at the LMOPS Lab, CentraleSupélec, Metz, France. His research interests include spatial and time-delay photonic implementations of reservoir computing, FPGA programming, online learning methods, and applications of machine learning to biomedical imaging.
Textul de pe ultima copertă
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.
Caracteristici
Nominated as an outstanding Ph.D. thesis by the Université libre de Bruxelles, Belgium Provides a thorough introduction to reservoir computing and field-programmable gate arrays Discusses the problems encountered on the path to the results discussed Uses an engaging and lively writing style