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Book Synopsis

Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips.

Photonic Reservoir Computing: Optical Recurrent Neural Networks

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    A Hardback by Daniel Brunner, Miguel C. Soriano, Guy Van der Sande

    15 in stock


      View other formats and editions of Photonic Reservoir Computing: Optical Recurrent Neural Networks by Daniel Brunner

      Publisher: De Gruyter
      Publication Date: 08/07/2019
      ISBN13: 9783110582000, 978-3110582000
      ISBN10:

      Description

      Book Synopsis

      Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips.

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