Deep Learning, Fluid Mechanics, Optical Computing, AI, Energy Efficiency.
panel shows the output of the CNN. This last image is much closer to the ‘true’ solution than any image the CNN has seen: the network has effectively learned to produce an image close to a high-resolution solution when ‘seeing’ a low-resolution one. Results for the super-resolution network trained