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Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks
However, a major challenge in using this spectral approach, as well as in an optical implementation of CNNs, is the inclusion of a nonlinearity between each convolutional layer, without which CNN performance drops dramatically.
2D beam shaping via 1D spatial light modulation
Many emerging reconfigurable optical systems are limited by routing complexity when producing dynamic, two-dimensional (2D) electric fields.
Optics
An Optical Frontend for a Convolutional Neural Network
The parallelism of optics and the miniaturization of optical components using nanophotonic structures, such as metasurfaces present a compelling alternative to electronic implementations of convolutional neural networks.
