DCGAN uses convolutional and convolutional-transpose layers in the generator and discriminator, respectively. It was proposed by Radford et. al. in the paper Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks.
Mohammad-Heydariii/DCGAN
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In this project, we tend to generate some high-quality paintings using the ABSTRACT-ART-GALLERY dataset according to the DCGAN concept!
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