Going through the images quickly, the trained algorithm seems to do well in cleaning up relatively low noise images. It can handle relatively uniform pattern noise.
It doesn’t do a good job of recovering detail (maybe this isn’t something it does…?) and removing low frequency noise. E.g., Waves at Shore Acres Oregon, which may already have chunky noise is made even splotchier, having the appearance of stipple art after processing.
It would be great if we could train with a larger variety of noise scenarios and subjects.