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What is Discriminative vs Generative Models Explained about?
This document provides an overview of discriminative and generative models in machine learning. Generative models estimate the probability of data and can generate new data instances, while discriminative models directly estimate the probability of classes or labels given inputs to classify data. The document compares the approaches, differences, and performance of discriminative versus generative models.
- Author
- Eknath Dake
- Language
- EN