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Results tagged with gan
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user 17947
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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How to use GAN for unsupervised feature extraction from images?
I have understood how GAN works while two networks (generative and discriminative) compete with each other. … How can use my trained GAN model (on MNIST dataset) to extract feature from MNIST handwritten digist images? …
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