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Results tagged with gan
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user 89608
GAN refers to Generative Adversarial Networks. Such networks is made of two networks that compete against each other. The first one generates new samples and the second one discriminates between generated samples and true samples.
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What would be a good loss function to penalize big differences and reward small ones, but no...
I have an image with the differences between 2 other images. Concentrations of black pixels mean similar regions between the images, whereas, white values highlight differences.
Thus I want a functi …
