Information about Test

  1. Generative adversarial network

    A generative adversarial network (GAN) is a class of machine learning systems invented by Ian Goodfellow and his colleagues in 2014. Two neural networks

  2. StyleGAN

    StyleGAN is a novel generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, and open sourced in February 2019. StyleGAN

  3. Generative model

    potential samples of input variables. Generative adversarial networks are examples of this class of generative models, and are judged primarily by the

  4. Deepfake

    learning and involve training generative neural network architectures, such as autoencoders or generative adversarial networks (GANs). Deepfakes have garnered

  5. Generative design

    testing environment or an artificial intelligence, for example a generative adversarial network. The designer learns to refine the program (usually involving

  6. Unsupervised learning

    detection Local Outlier Factor Neural Networks Autoencoders Deep Belief Nets Hebbian Learning Generative adversarial networks Self-organizing map Approaches

  7. Generative systems

    subsystems Generative adversarial network – Deep learning method Generative music Generative art Generative grammar – Theory in linguistics Generative science –

  8. Edmond de Belamy

    Edmond de Belamy is a generative adversarial network portrait painting constructed in 2018 by Paris-based arts-collective Obvious. Printed on canvas, the

  9. Artificial neural network

    photo-real talking heads; competitive networks such as generative adversarial networks in which multiple networks (of varying structure) compete with each

  10. Human image synthesis

    In 2014 Ian Goodfellow et al. presented the principles of a generative adversarial network. GANs made the headlines in early 2018 with the deepfakes controversies