Demystifying GANs: A Deep Dive into Generative Adversarial Networks

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2024-07-08 11:48:02 - Translate -

Generative Adversarial Networks (GANs) are a class of machine learning models designed to generate new data samples that resemble a given training dataset. Introduced by Ian Goodfellow and his colleagues in 2014, GANs consist of two neural networks: the generator and the discriminator. The generator creates synthetic data, while the discriminator evaluates its authenticity against real data....

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