In machine learning, a generative model learns to generate samples that have a high probability of being real samples like the samples from the training dataset. Generative Adversarial Networks (GANs) are a very hot topic in Machine Learning. A typical GAN comprises two agents: G and D have competing goals (hence the term ��adversarial�� in Generative Adversarial Networks): D must learn to��
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