Why does deep learning require the construction of generative data models?

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Deep learning requires generative data models to learn the underlying structure and patterns in data. By constructing generative models, deep learning algorithms can generate new data samples that resemble the original dataset. This process helps in learning complex data distributions and improving the...
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Deep learning requires generative data models to learn the underlying structure and patterns in data. By constructing generative models, deep learning algorithms can generate new data samples that resemble the original dataset. This process helps in learning complex data distributions and improving the model's ability to generalize to unseen data. read less
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