Generating Anime Images by Implementing DC GAN paper
AnimeGAN PyTorch implementation of DCGAN introduced in the paper: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks, Alec Radford, Luke Metz, Soumith Chintala. Generative Adversarial Networks (GANs) are one of the most popular (and coolest)Machine Learning algorithms developed in recent times. They belong to a set of algorithms called generative models, whichare widely used for unupervised learning tasks which aim to learn the uderlying structure of the given data. As the namesuggests GANs allow you to generate new unseen […]
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