Generative Adversarial Network (GAN) - GeeksforGeeks Generative Adversarial Networks (GAN) can generate realistic images by learning from existing image datasets Here we will be implementing a GAN trained on the CIFAR-10 dataset using PyTorch
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Generative adversarial network - Wikipedia Given a training set, this technique learns to generate new data with the same statistics as the training set For example, a GAN trained on photographs can generate new photographs that look at least superficially authentic to human observers, having many realistic characteristics
What is a GAN? - Generative Adversarial Networks Explained - AWS A generative adversarial network (GAN) is a deep learning architecture It trains two neural networks to compete against each other to generate more authentic new data from a given training dataset