Generative and Discriminative Models


Generative and Discriminative Models

“Most of the Machine Learning and Deep Learning problems that you solve are conceptualized from the Generative and Discriminative Models. In Machine Learning, one can clearly distinguish between the two modelling types:

  • Classifying an image as a dog or a cat falls under Discriminative Modelling
  • Producing a realistic dog or a cat image is a Generative Modelling problem

The more the neural networks got adopted, the more the generative and discriminative domains grew. To understand the algorithms based on these models, you need to study the theory and all the modelling concepts…”


May 15, 2021
Notify of
Inline Feedbacks
View all comments

Subscribe to our Digest