It’s not a question rather a discussion. Suppose I have two directories, one with images[1 … N] and the second with a modified version of image[1 … N]. Image1 when modified forms modified_image_1, ImageN to modified_image_N. I want to train a network that would learn from the directories and generate a model. Unknown ImageX, when passed through this image, will provide me a output of modified_image_x.
So, I would appreciate if anyone could help me on how to, or a similiar example of some network etc.