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  2. Variational autoencoder - Wikipedia

    en.wikipedia.org/wiki/Variational_autoencoder

    In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling. [1] It is part of the families of probabilistic graphical models and variational Bayesian methods .

  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. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

  5. Restricted Boltzmann machine - Wikipedia

    en.wikipedia.org/wiki/Restricted_Boltzmann_machine

    Diagram of a restricted Boltzmann machine with three visible units and four hidden units (no bias units) A restricted Boltzmann machine (RBM) (also called a restricted Sherrington–Kirkpatrick model with external field or restricted stochastic Ising–Lenz–Little model) is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs.

  6. Funeral held for 2 Detroit kids who died in cold while family ...

    www.aol.com/news/funeral-held-2-detroit-kids...

    A group has stepped forward to provide a home for surviving family members of two Detroit children who died in a cold van in a casino parking garage, an official said. A funeral was held Thursday ...

  7. Continuous Bernoulli distribution - Wikipedia

    en.wikipedia.org/wiki/Continuous_Bernoulli...

    In probability theory, statistics, and machine learning, the continuous Bernoulli distribution [1] [2] [3] is a family of continuous probability distributions parameterized by a single shape parameter (,), defined on the unit interval [,], by:

  8. PyMC - Wikipedia

    en.wikipedia.org/wiki/PyMC

    PyMC source, a Git repository hosted on GitHub PyTensor is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. v

  9. Co-Worker Jokes That Man Skipped Work Because He Won the ...

    www.aol.com/co-worker-jokes-man-skipped...

    Related: Winning Mega Millions Ticket for $1.2 Billion Bought at California Gas Station “He kidded me if the reason I wasn’t at work was because I had won the million,” Chavez reportedly ...