• Corpus ID: 10851832

Comparative Study on Generative Adversarial Networks

@article{Hitawala2018ComparativeSO,
  title={Comparative Study on Generative Adversarial Networks},
  author={Saifuddin Hitawala},
  journal={ArXiv},
  year={2018},
  volume={abs/1801.04271}
}
In recent years, there have been tremendous advancements in the field of machine learning. These advancements have been made through both academic as well as industrial research. Lately, a fair amount of research has been dedicated to the usage of generative models in the field of computer vision and image classification. These generative models have been popularized through a new framework called Generative Adversarial Networks. Moreover, many modified versions of this framework have been… 

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