  Digital hologram rendering can be performed by a convolutional neural
network, trained with image pairs calculated by numerical wave propagation from
sparse generating images. 512-by-512 pixeldigital Gabor magnitude holograms are
successfully estimated from experimental interferograms by a standard UNet
trained with 50,000 synthetic image pairs over 70 epochs.
