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[D] U-Net for dimension reduction?

I have recently read about U-Net and thought that since it is very similar with autoencoders then perhaps I could use it for a project in place of autoencoders for dimension reduction. But I haven’t found any papers that use it for that purpose only segmentation and generative models. Is there a theoretical issue using it for that purpose?

submitted by /u/Scaredabeast
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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.