Speaker
Kelvin Wagner
(University of Colorado, Boulder)
Description
We show how the array of convolutional adaptive interconnections needed for deep
learning can be physically implemented and learned in an all-optical multistage dynamic holographically-interconnected architecture using thick Fourier-plane dynamic holographic photorefractive crystals.
This optical architecture is self-aligned, phase-calibrated, and aberration compensated by using photorefractive phase conjugate mirrors to record the dynamic-holographic Fourier-plane interconnections in each layer.
Primary author
Kelvin Wagner
(University of Colorado, Boulder)
