Editing Unsupervised learning (section)

=== History ===

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| 1974 || Ising magnetic model proposed by {{ill|William A. Little (physicist)|lt=WA Little|de|William A. Little}} for cognition
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| 1980 || [[Kunihiko Fukushima]] introduces the [[neocognitron]], which is later called a [[convolutional neural network]]. It is mostly used in SL, but deserves a mention here.
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| 1982 || Ising variant Hopfield net described as [[Content-addressable memory|CAMs]] and classifiers by John Hopfield.
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| 1983 || Ising variant Boltzmann machine with probabilistic neurons described by [[Geoffrey Hinton|Hinton]] & [[Terry Sejnowski|Sejnowski]] following Sherington & Kirkpatrick's 1975 work.
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| 1986 || [[Paul Smolensky]] publishes Harmony Theory, which is an RBM with practically the same Boltzmann energy function. Smolensky did not give a practical training scheme. Hinton did in mid-2000s.
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| 1995 || Schmidthuber introduces the [[Long short-term memory|LSTM]] neuron for languages.
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| 1995 || Dayan & Hinton introduces Helmholtz machine
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| 2013 || Kingma, Rezende, & co. introduced Variational Autoencoders as Bayesian graphical probability network, with neural nets as components.
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