's Application of FPGA to Real‐Time Machine Learning: Hardware PDF

ISBN-10: 3319910523

ISBN-13: 9783319910529

This publication lies on the interface of computing device studying – a subfield of machine technological know-how that develops algorithms for difficult projects comparable to form or photograph reputation, the place conventional algorithms fail – and photonics – the actual technology of sunshine, which underlies some of the optical communications applied sciences utilized in our details society. It presents an intensive creation to reservoir computing and field-programmable gate arrays (FPGAs).
Recently, photonic implementations of reservoir computing (a computing device studying set of rules according to synthetic neural networks) have made a step forward in optical computing attainable. during this ebook, the writer pushes the functionality of those structures considerably past what was once accomplished ahead of. by means of interfacing a photonic reservoir desktop with a high-speed digital equipment (an FPGA), the writer effectively interacts with the reservoir computing device in actual time, permitting him to significantly extend its functions and variety of attainable functions. moreover, the writer attracts on his services in desktop studying and FPGA programming to make growth on a truly diversified challenge, specifically the real-time photograph research of optical coherence tomography for atherosclerotic arteries.

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Application of FPGA to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing (Springer Theses)

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