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Gan - What is the difference between NLP and GANs?


Generative Adversarial Networks (GANs) are composed of two interconnected neural networks, namely the generator and discriminator. They work together to create data that is virtually identical to authentic data. In Natural Language Processing (NLP), GANs are employed to produce language that closely resembles human speech, to enhance training data, and to create language models that can precisely predict text.