Augmenting neural networks with external memory
US10885426B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2016 |
| Grant date | Jan 5, 2021 |
| Priority date | — |
| Expiry date | Nov 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F12/123
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting neural networks with an external memory. One of the systems includes a controller neural network that includes a Least Recently Used Access (LRUA) subsystem configured to: maintain a respective usage weight for each of a plurality of locations in the external memory, and for each of the plurality of time steps: generate a respective reading weight for each location using a read key, read data from the locations in accordance with the reading weights, generate a respective writing weight for each of the locations from a respective reading weight from a preceding time step and the respective usage weight for the location, write a write vector to the locations in accordance with the writing weights, and update the respective usage weight from the respective reading weight and the respective writing weight.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.