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This is theoretical and we are working on publishing our paper. We will be applying the DCGAN architecture on the DeepTrash dataset. This is a collection of plastic images in the epipelagic layer and abyssopelagic layer of the ocean curated for marine plastic detection using computer vision. The DCGAN is a direct extension of the GAN architecture mentioned above except it uses Deep Convolutional Layers in the discriminator and generator respectively. It was first described by Radford et. al in the paper Unsupervised Representation Learning With Deep Convolutionsal Generative Adversarial Networks.