This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages) The topic of this article may not meet Wikipedia's general notability guideline. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be merged, redirected, or deleted.Find sources: "Thought vector" – news · newspapers · books · scholar · JSTOR (August 2016) (Learn how and when to remove this template message) This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.Find sources: "Thought vector" – news · newspapers · books · scholar · JSTOR (November 2016) (Learn how and when to remove this template message) (Learn how and when to remove this template message)

Thought vector is a term popularized by Geoffrey Hinton, the prominent deep-learning researcher, which uses vectors based on natural language[1] to improve its search results.[2]

References

  1. ^ Hinton, Geoffrey. "Aetherial Symbols". Retrieved 2017-10-09.
  2. ^ Gibson, Chris Nicholson, Adam. "Thought Vectors, Deep Learning & the Future of AI - Deeplearning4j: Open-source, distributed deep learning for the JVM". deeplearning4j.org. Archived from the original on 2017-02-11. Retrieved 2016-08-23.((cite web)): CS1 maint: multiple names: authors list (link)


Categories