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Taxonomy of Generative Models by dupsimugne is a document available to read on EtoBox.
What is Taxonomy of Generative Models about?
This document provides an overview of generative adversarial networks (GANs). It begins by defining GANs and describing the ideal case where the generator and discriminator reach an equilibrium. It then discusses some shortcomings of the basic GAN algorithm, such as mode collapse, and proposes techniques to address these issues, such as using convolutional layers. The document reviews seminal GAN papers and shows examples of images generated by different GAN models. It also explores arithmetic operations in
- Author
- dupsimugne
- Language
- EN