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[D] Ideas on how can I implement a ML based solution to treat patterns according to training data

[D] Ideas on how can I implement a ML based solution to treat patterns according to training data

Hello everyone,

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.

https://i.redd.it/zg4qf0hvzrd31.png

I would greatly appreciate any suggestions/help on how can I go about implementing this?

Thank you

submitted by /u/Pepe_thelord
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.