Representation learning using multi-task deep neural networks
US10089576B2 · kind B2 · utility
23Cited by
4References
17Claims
0Family size
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Key dates
| Filing date | Jul 28, 2015 |
| Grant date | Oct 2, 2018 |
| Priority date | — |
| Expiry date | Nov 18, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system may comprise one or more processors and memory storing instructions that, when executed by one or more processors, configure one or more processors to perform a number of operations or tasks, such as receiving a query or a document, and mapping the query or the document into a lower dimensional representation by performing at least one operational layer that shares at least two disparate tasks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.