All-optical machine learning using diffractive deep neural networks
- Pretty clever: use 3D printed plastic as diffractive media in a 0.4 THz all-optical all-interference (some attenuation) linear convolutional multi-layer 'neural network'.
- In the arxive publication there are few details on how they calculated or optimized given diffractive layers.
- Absence of nonlinearity will limit things greatly.
- Actual observed performance (where thy had to print out the handwritten digits) rather poor, ~ 60%.
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