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Generative Adversarial Network

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Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.

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JiahuiYu / generative_inpainting

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open-mmlab / mmediting

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Progress of Chinese Documentation

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ckkelvinchan
ckkelvinchan commented Jul 7, 2021

We are building Chinese Documentation now, PRs of translation from the community are welcomed.

To make the community fully aware of the progress, we list the progress here. Please feel free to leave a message and create a PR if you are willing to translate any one of the documentation.

  • docs/changelog.md @kai422
  • docs/config.md @AlexZou14
  • docs/config_generation.md @ckkelv
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Released June 10, 2014

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deep-learning neural-network