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Application of FPGA to RealTime Machine Learning

Hardware Reservoir Computers and Software Image Processing

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  • 196pages
  • 7 heures de lecture

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Exploring the intersection of machine learning and photonics, this book delves into advanced algorithms designed for complex tasks like shape and image recognition. It offers a comprehensive introduction to reservoir computing, a novel approach within machine learning, and field-programmable gate arrays (FPGAs), essential components in modern optical communication technologies. This fusion of disciplines highlights innovative solutions and the potential for future advancements in information technology.

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Application of FPGA to RealTime Machine Learning, Piotr Antonik

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Année de publication
2019
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