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- Boltzmann_machine abstract "A Boltzmann machine is a type of stochastic recurrent neural network invented by Geoffrey Hinton and Terry Sejnowski in 1985. Boltzmann machines can be seen as the stochastic, generative counterpart of Hopfield nets. They were one of the first examples of a neural network capable of learning internal representations, and are able to represent and (given sufficient time) solve difficult combinatoric problems. However, due to a number of issues discussed below, Boltzmann machines with unconstrained connectivity have not proven useful for practical problems in machine learning or inference. They are still theoretically intriguing, however, due to the locality and Hebbian nature of their training algorithm, as well as their parallelism and the resemblance of their dynamics to simple physical processes. If the connectivity is constrained, the learning can be made efficient enough to be useful for practical problems.They are named after the Boltzmann distribution in statistical mechanics, which is used in their sampling function.".
- Boltzmann_machine thumbnail Boltzmannexamplev1.png?width=300.
- Boltzmann_machine wikiPageExternalLink pdp7.pdf.
- Boltzmann_machine wikiPageExternalLink fastnc.pdf.
- Boltzmann_machine wikiPageExternalLink nccd.pdf.
- Boltzmann_machine wikiPageExternalLink Boltzmann_Machine.
- Boltzmann_machine wikiPageExternalLink watch?v=VdIURAu1-aU.
- Boltzmann_machine wikiPageExternalLink watch?v=AyzOUbkUf3M.
- Boltzmann_machine wikiPageID "1166059".
- Boltzmann_machine wikiPageRevisionID "606223797".
- Boltzmann_machine hasPhotoCollection Boltzmann_machine.
- Boltzmann_machine subject Category:Neural_networks.
- Boltzmann_machine type Abstraction100002137.
- Boltzmann_machine type Communication100033020.
- Boltzmann_machine type ComputerArchitecture106725249.
- Boltzmann_machine type Description106724763.
- Boltzmann_machine type Message106598915.
- Boltzmann_machine type NeuralNetwork106725467.
- Boltzmann_machine type NeuralNetworks.
- Boltzmann_machine type Specification106725067.
- Boltzmann_machine type Statement106722453.
- Boltzmann_machine comment "A Boltzmann machine is a type of stochastic recurrent neural network invented by Geoffrey Hinton and Terry Sejnowski in 1985. Boltzmann machines can be seen as the stochastic, generative counterpart of Hopfield nets. They were one of the first examples of a neural network capable of learning internal representations, and are able to represent and (given sufficient time) solve difficult combinatoric problems.".
- Boltzmann_machine label "Boltzmann machine".
- Boltzmann_machine label "Boltzmann-Maschine".
- Boltzmann_machine label "Máquina de Boltzmann".
- Boltzmann_machine label "Машина Больцмана".
- Boltzmann_machine label "ボルツマンマシン".
- Boltzmann_machine sameAs Boltzmann-Maschine.
- Boltzmann_machine sameAs Máquina_de_Boltzmann.
- Boltzmann_machine sameAs ボルツマンマシン.
- Boltzmann_machine sameAs m.04cv5t.
- Boltzmann_machine sameAs Q194706.
- Boltzmann_machine sameAs Q194706.
- Boltzmann_machine sameAs Boltzmann_machine.
- Boltzmann_machine wasDerivedFrom Boltzmann_machine?oldid=606223797.
- Boltzmann_machine depiction Boltzmannexamplev1.png.
- Boltzmann_machine isPrimaryTopicOf Boltzmann_machine.
