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125 - What are Generative Adversarial Networks (GAN)?
Generative adversarial networks (GANs) are deep learning architectures that use two neural networks (Generator and Discriminator), competing one against the other. The generator tries to create realistic looking fake data (e.g. images) and the discriminator tries to classify whether the data is real or fake. After a few thousand (or million ...
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