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Helmholtz machine

Index Helmholtz machine

The Helmholtz machine is a type of artificial neural network that can account for the hidden structure of a set of data by being trained to create a generative model of the original set of data. [1]

10 relations: Artificial neural network, Autoencoder, Boltzmann machine, Generative model, Hermann von Helmholtz, Hopfield network, Representations, Restricted Boltzmann machine, Unsupervised learning, Wake-sleep algorithm.

Artificial neural network

Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains.

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Autoencoder

An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner.

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Boltzmann machine

A Boltzmann machine (also called stochastic Hopfield network with hidden units) is a type of stochastic recurrent neural network (and Markov random field).

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Generative model

In statistical classification, including machine learning, two main approaches are called the generative approach and the discriminative approach.

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Hermann von Helmholtz

Hermann Ludwig Ferdinand von Helmholtz (August 31, 1821 – September 8, 1894) was a German physician and physicist who made significant contributions in several scientific fields.

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Hopfield network

A Hopfield network is a form of recurrent artificial neural network popularized by John Hopfield in 1982, but described earlier by Little in 1974.

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Representations

Representations is an interdisciplinary journal in the humanities published quarterly by the University of California Press.

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Restricted Boltzmann machine

A restricted Boltzmann machine (RBM) is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs.

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Unsupervised learning

Unsupervised machine learning is the machine learning task of inferring a function that describes the structure of "unlabeled" data (i.e. data that has not been classified or categorized).

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Wake-sleep algorithm

The wake-sleep algorithm is an unsupervised learning algorithm for a stochastic multilayer neural network.

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Helmholtz machines.

References

[1] https://en.wikipedia.org/wiki/Helmholtz_machine

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