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  2. Variational autoencoder - Wikipedia

    en.wikipedia.org/wiki/Variational_autoencoder

    In addition to being seen as an autoencoder neural network architecture, variational autoencoders can also be studied within the mathematical formulation of variational Bayesian methods, connecting a neural encoder network to its decoder through a probabilistic latent space (for example, as a multivariate Gaussian distribution) that corresponds ...

  3. Autoencoder - Wikipedia

    en.wikipedia.org/wiki/Autoencoder

    Schematic structure of an autoencoder with 3 fully connected hidden layers. The code (z, or h for reference in the text) is the most internal layer. Autoencoders are often trained with a single-layer encoder and a single-layer decoder, but using many-layered (deep) encoders and decoders offers many advantages. [2]

  4. Automatic1111 - Wikipedia

    en.wikipedia.org/wiki/Automatic1111

    SD WebUI was released on GitHub on August 22, 2022, by AUTOMATIC1111, [1] 1 month after the initial release of Stable Diffusion. [6] At the time, Stable Diffusion could only be run via the command line. [5] SD WebUI quickly rose in popularity and has been described as "the most popular tool for running diffusion models locally."

  5. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    Stable Diffusion consists of 3 parts: the variational autoencoder (VAE), U-Net, and an optional text encoder. [17] The VAE encoder compresses the image from pixel space to a smaller dimensional latent space , capturing a more fundamental semantic meaning of the image. [ 16 ]

  6. Variational Bayesian methods - Wikipedia

    en.wikipedia.org/wiki/Variational_Bayesian_methods

    Variational Bayesian methods are a family of techniques for approximating intractable integrals arising in Bayesian inference and machine learning.They are typically used in complex statistical models consisting of observed variables (usually termed "data") as well as unknown parameters and latent variables, with various sorts of relationships among the three types of random variables, as ...

  7. Hubie Brown, a basketball coach, broadcaster and always a ...

    www.aol.com/hubie-brown-basketball-coach...

    Hubie Brown had just taken his first college coaching job in 1968 and didn't expect that he'd also be asked to teach. Brown, now 91 and set to work his final game as a broadcaster, never stopped ...

  8. Variational multiscale method - Wikipedia

    en.wikipedia.org/wiki/Variational_Multiscale_Method

    The variational multiscale method (VMS) is a technique used for deriving models and numerical methods for multiscale phenomena. [1] The VMS framework has been mainly applied to design stabilized finite element methods in which stability of the standard Galerkin method is not ensured both in terms of singular perturbation and of compatibility conditions with the finite element spaces.

  9. Why Some Exercisers Are 'Hyperhydrating'—And Whether You ...

    www.aol.com/why-exercisers-hyperhydrating...

    Cheat code or not, most everyday exercisers don’t need to hyperhydrate. Most healthy people meet their daily hydration needs by letting thirst be their guide, ...