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What is Generative vs Discriminative Models about?
This document discusses deep learning as a building block for probabilistic models. It provides an overview of generative and discriminative models for supervised learning tasks like classification and regression. Specifically, it explains that the goal is to build models that can produce uncertainty assessments and probabilistic predictions. While generative models fully model the joint distribution p(x,y), discriminative models directly model the conditional distribution p(y|x), which is sufficient for pr
- Author
- martin.durand955
- Language
- EN