Generative adversarial network

Category: ai_ml

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Generative adversarial networks or GANs are a class of artificial intelligence algorithms used in unsupervised machine learning, implemented by a system of two neural networks contesting with each other.

The two neural network are Inspector and the Generator.
The Generator tries to create fake money, the other one is the Inspector who tries to understand if it's seeing real money or fake money.

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