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I am stuck on what algorithm to use. I want to train my program on a dataset where i have an input image, and an output image which is a modified version of the input. The whole context of the image is important, and each pixel counts.

After training i want to input an image, and get an output similar to the training data.

Martin M
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1 Answers1

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You can use Deep convolution GAN network of Deep learning. It would be a generative model.

you can get detailed help from :

https://medium.com/@keisukeumezawa/dcgan-generate-the-images-with-deep-convolutinal-gan-55edf947c34b

Reeves
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