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What’s the difference between a generative and discriminative model?
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Machine Learning
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A generative model will learn categories of data while a discriminative model will simply learn the distinction between different categories of data. Discriminative models will generally outperform generative models on classification tasks.
A generative model will generate data by combining the original data with noise while a discriminative model will try to differentiate between the data generated by the generator and the original data. They are mainly used in Generative Adversarial Network (GAN) to generate fake images.