Computer-implemented deep tensor neural network
US9292787B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2012 |
| Grant date | Mar 22, 2016 |
| Priority date | — |
| Expiry date | Aug 2, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A deep tensor neural network (DTNN) is described herein, wherein the DTNN is suitable for employment in a computer-implemented recognition/classification system. Hidden layers in the DTNN comprise at least one projection layer, which includes a first subspace of hidden units and a second subspace of hidden units. The first subspace of hidden units receives a first nonlinear projection of input data to a projection layer and generates the first set of output data based at least in part thereon, and the second subspace of hidden units receives a second nonlinear projection of the input data to the projection layer and generates the second set of output data based at least in part thereon. A tensor layer, which can converted into a conventional layer of a DNN, generates the third set of output data based upon the first set of output data and the second set of output data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.