Skip to content
#

gan

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.

Here are 46 public repositories matching this topic...

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.

  • Updated Jul 29, 2020
  • Jupyter Notebook

Released June 10, 2014

Followers
230 followers
Wikipedia
Wikipedia

Related Topics

deep-learning neural-network