Thought vector

From Wikipedia, the free encyclopedia

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]


  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". Archived from the original on 2017-02-11. Retrieved 2016-08-23.{{cite web}}: CS1 maint: multiple names: authors list (link)