Application of FPGA to Real Time Machine Learning is popular PDF and ePub book, written by Piotr Antonik in 2018-05-18, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Application of FPGA to Real Time Machine Learning can be Read Online from any device for your convenience.
Application of FPGA to Real Time Machine Learning Book PDF Summary
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.
Detail Book of Application of FPGA to Real Time Machine Learning PDF
- Author : Piotr Antonik
- Release : 18 May 2018
- Publisher : Springer
- ISBN : 9783319910536
- Genre : Science
- Total Page : 187 pages
- Language : English
- PDF File Size : 12,6 Mb
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