Deep unsupervised learning on a desktop PC: A primer for cognitive scientists
Deep belief networks hold great promise for the simulation of human cognition because they show how structured and abstract representations may emerge from probabilistic unsupervised learning. These networks build a hierarchy of progressively more complex distributed representations of the sensory d...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2013-05-01
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| シリーズ: | Frontiers in Psychology |
| 主題: | |
| オンライン･アクセス: | http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00251/full |
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