62,682
edits
Changes
no edit summary
|-
| 1970 || || || "There had been not to much effort until the intuition of Multi-Layer Perceptron (MLP) was suggested by Werbos[6] in 1981 with NN specific Backpropagation(BP) algorithm, albeit BP idea had been proposed before by Linnainmaa [5] in 1970 in the name "reverse mode of automatic differentiation"."<ref name="erogol.comt"/>
|-
| 1974 || || Algorithm || "{{w|ALOPEX}} (an acronym from "'''''AL'''gorithms '''O'''f '''P'''attern '''EX'''traction''") is a correlation based machine learning algorithm first proposed by [[w:Evangelia Micheli-Tzanakou|Tzanakou]] and Harth in 1974."
|-
| 1979 || || Stanford Cart || Students at Stanford University develop a cart that can navigate and avoid obstacles in a room <ref>{{cite web|last1=Marr|first1=Marr|title=A Short History of Machine Learning - Every Manager Should Read|url=http://www.forbes.com/sites/bernardmarr/2016/02/19/a-short-history-of-machine-learning-every-manager-should-read/#2a1a75f9323f|website=Forbes|accessdate=28 Sep 2016}}</ref> " Students at Stanford University invent the “Stanford Cart” which can navigate obstacles in a room on its own."<ref name="forbes.com"/>
|-
| 2007 || || || {{w|scikit-learn}} is released in June.
|-
| 2007 || || Software release || {{w|Theano (software)}} is initially released.
|-
| 2009 (April 7) || || Software release || {{w|Apache Mahout}} is first released.
| 2017 || || || "In 2017, the Alphabet's Jigsaw team built an intelligent system that was able to learn the online trolling. It used to read millions of comments of different websites to learn to stop online trolling."<ref name="javatpoint.comu"/> "As part of its anti-harassment efforts, Alphabet’s Jigsaw team built a system that learned to identify trolling by reading millions of website comments. The underlying algorithms could be a huge help for sites with limited resources for moderation"<ref name="cloud.withgoogle.com"/>
|-
| 2019 (September 10) || || Library Software release || {{w|Deeplearning4j}} is initially released.
|-
| 2019 (November 26) || || Software release || {{w|mlpack}} is released.
