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What type of neural networks to choose for generating processed images?
There is a dataset of the form: original image - processed image. It is
necessary to organize a neural network that trains on such a dataset and allows you to receive new images as input in the future and already independently process images in accordance with the dataset.
What type of neural networks should be used, what to google to figure it out? :) The main thing is not to blend without a dataset
Apparently, I need Transforming Autoencoder, but I can’t find a suitable solution for an example
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