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  2. Generative adversarial network - Wikipedia

    en.wikipedia.org/wiki/Generative_adversarial_network

    The first network is a generative model that models a probability distribution over output patterns. The second network learns by gradient descent to predict the reactions of the environment to these patterns. GANs can be regarded as a case where the environmental reaction is 1 or 0 depending on whether the first network's output is in a given ...

  3. Wasserstein GAN - Wikipedia

    en.wikipedia.org/wiki/Wasserstein_GAN

    The Wasserstein Generative Adversarial Network (WGAN) is a variant of generative adversarial network (GAN) proposed in 2017 that aims to "improve the stability of learning, get rid of problems like mode collapse, and provide meaningful learning curves useful for debugging and hyperparameter searches".

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  5. Generative model - Wikipedia

    en.wikipedia.org/wiki/Generative_model

    An increase in the scale of the neural networks is typically accompanied by an increase in the scale of the training data, both of which are required for good performance. [10] Popular DGMs include variational autoencoders (VAEs), generative adversarial networks (GANs), and auto-regressive models.

  6. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    [74] [75] The first network is a generative model that models a probability distribution over output patterns. The second network learns by gradient descent to predict the reactions of the environment to these patterns. This was called "artificial curiosity". In 2014, this principle was used in generative adversarial networks (GANs). [76]

  7. Part 1 of the "Abbott Elementary" and "It's Always Sunny in Philadelphia" crossover aired on Wednesday, Jan. 8, at 8:30 p.m. ET/PT. The second crossover is expected later in 2025, but Season 17 of ...

  8. StyleGAN - Wikipedia

    en.wikipedia.org/wiki/StyleGAN

    This image was generated by an artificial neural network based on an analysis of a large number of photographs. The Style Generative Adversarial Network , or StyleGAN for short, is an extension to the GAN architecture introduced by Nvidia researchers in December 2018, [ 1 ] and made source available in February 2019.

  9. Today’s NYT ‘Strands’ Hints, Spangram and Answers ... - AOL

    www.aol.com/today-nyt-strands-hints-spangram...

    We'll cover exactly how to play Strands, hints for today's spangram and all of the answers for Strands #285 on Friday, December 13. Related: 16 Games Like Wordle To Give You Your Word Game Fix ...