A weight discretization paradigm for optical neural networks 0

@inproceedings{Fiesler1990AWD,
  title={A weight discretization paradigm for optical neural networks 0},
  author={Emile Fiesler and Amar Choudry and H. J. Caul eld},
  year={1990}
}
Neural networks are a primary candidate architecture for optical computing. One of the major problems in using neural networks for optical computers is that the information holders: the interconnection strengths (or weights) are normally real valued (continuous), whereas optics (light) is only capable of representing a few distinguishable intensity levels (discrete). In this paper a weight discretization paradigm is presented for back(ward error) propagation neural networks which can work with… CONTINUE READING
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