This is my very first post on this thread. I apologize if this question sounds dumb, I am new to machine learning and CNNs. I am trying to implement a machine learning-based solution, where if I input a pattern with rough edges into the model, it will output a treated pattern based on the training data pairs.
10 examples of an input and an expected output pair are shown below, where the inputs are shown by the patterns outlined in black lines and the expected outputs are in blue.
I would greatly appreciate any suggestions/help on how can I go about implementing this?