About this document
Generative Models: A Comprehensive Taxonomy by Aahib Nazir is a document available to read on EtoBox.
The document provides an overview of generative models, focusing primarily on Generative Adversarial Networks (GANs) and their various components, including loss functions and training techniques. It discusses the challenges of evaluating GAN performance, such as mode collapse and the difficulty in quantifying results, while also presenting different GAN architectures and hacks to improve training stability. Additionally, it introduces alternative objective functions like EBGAN, BEGAN, and WGAN, emphasizing
- Author
- Aahib Nazir
- Language
- EN