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Machine Learning Generative Adversarial Networks
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What is the primary goal of a Generative Adversarial Network (GAN)?
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A
To generate realistic data that resembles the training data distribution.
💡 Explanation:
The primary goal of a GAN is to generate new data that is indistinguishable from the real data. This is achieved through an adversarial process where a generator network competes against a discriminator network.