Information about Test

  1. Deepfake

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

  2. Generative design

    human, it can be a test program in a testing environment or an artificial intelligence, for example a generative adversarial network. The designer learns

  3. Deep learning

    learning or differential programming) is part of a broader family of machine learning methods based on artificial neural networks with representation learning

  4. Artificial neural network

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

  5. Outline of machine learning

    iterative scaling Generalized multidimensional scaling Generative adversarial network Generative model Genetic algorithm Genetic algorithm scheduling Genetic

  6. Insilico Medicine

    next-generation artificial intelligence technologies such as the generative adversarial networks and reinforcement learning to the generation of novel molecular

  7. Adversarial Design

    boundaries in the construction of objects, interfaces, networks, spaces and events. Most importantly, Adversarial Design does the work in expressing and enabling

  8. Synthetic media

    Synthetic media as a field has grown rapidly since the creation of generative adversarial networks, primarily through the rise of deepfakes as well as music synthesis

  9. Machine learning in video games

    neural networks, autoencoders, restricted boltzmann machines, recurrent neural networks, convolutional neural networks, generative adversarial networks (GANs)

  10. Glossary of artificial intelligence

    rational decision-makers. Generative adversarial network – (GAN), is a class of machine learning systems. Two neural networks contest with each other in