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  2. 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.

  3. Boltzmann machine - Wikipedia

    en.wikipedia.org/wiki/Boltzmann_machine

    This is not a restricted Boltzmann machine. A Boltzmann machine (also called Sherrington–Kirkpatrick model with external field or stochastic Ising model), named after Ludwig Boltzmann is a spin-glass model with an external field, i.e., a Sherrington–Kirkpatrick model, [1] that is a stochastic Ising model.

  4. Convolutional deep belief network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_deep_belief...

    In computer science, a convolutional deep belief network (CDBN) is a type of deep artificial neural network composed of multiple layers of convolutional restricted Boltzmann machines stacked together. [1]

  5. Vanishing gradient problem - Wikipedia

    en.wikipedia.org/wiki/Vanishing_gradient_problem

    It uses a restricted Boltzmann machine to model each new layer of higher level features. Each new layer guarantees an increase on the lower-bound of the log likelihood of the data, thus improving the model, if trained properly.

  6. Deeplearning4j - Wikipedia

    en.wikipedia.org/wiki/Deeplearning4j

    Deeplearning4j includes implementations of the restricted Boltzmann machine, deep belief net, deep autoencoder, stacked denoising autoencoder and recursive neural tensor network, word2vec, doc2vec, and GloVe. These algorithms all include distributed parallel versions that integrate with Apache Hadoop and Spark. [5]

  7. Paul Smolensky - Wikipedia

    en.wikipedia.org/wiki/Paul_Smolensky

    The ICS Architecture builds on Harmony Theory, a formalism for artificial neural networks that introduced the restricted Boltzmann machine architecture. This work, up through the early 2000s, is presented in the two-volume book written with Géraldine Legendre, The Harmonic Mind. [6]

  8. Generative model - Wikipedia

    en.wikipedia.org/wiki/Generative_model

    Boltzmann machine (e.g. Restricted Boltzmann machine, Deep belief network) Variational autoencoder; Generative adversarial network; Flow-based generative model;

  9. RBM - Wikipedia

    en.wikipedia.org/wiki/RBM

    RBM is a three-letter acronym. It refers to: 89.1 Radio Blue Mountains, Radio station in Katoomba, New South Wales; Restricted Boltzmann machine, a type of neural network used in artificial intelligence applications