Alexey Ivakhnenko was a Soviet Ukrainian mathematician and computer scientist best known for developing the group method of data handling, a method of inductive statistical learning that automatically builds and selects models from data rather than requiring a researcher to specify a models form in advance. The method is now widely considered one of the earliest working forms of what came to be called deep learning, since it built networks of increasingly complex models layer by layer directly from data.
Facts
AwardMedal "For Valiant Labour in the Great Patriotic War 1941–1945" 2 AwardMedal "For Distinguished Labour" 2 AwardOrder of Friendship of Peoples 2 FAQs
How deep were the networks Alexey Ivakhnenko built with his group method of data handling?
His 1971 paper used a group method of data handling network with 8 layers.
Ivakhnenko introduced the group method of data handling as a way of training neural networks. A survey in Frontiers in Artificial Intelligence notes that his 1971 paper used a deep network of this kind with 8 layers.
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1. Wikipedia: Alexey Ivakhnenko
Wikimedia FoundationLead section
Alexey Ivakhnenko (Ukrainian: Олексíй Григо́рович Іва́хненко; 30 March 1913 - 16 October 2007) was a Soviet and Ukrainian mathematician most famous for developing the group method of data handling (GMDH), a method of inductive statistical learning, for which he is considered as one of the founders of deep learning.
- In Field: Machine Learning, Lead paragraph
View the Source 2. Wikidata: Alexey Ivakhnenko
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