Neural networks with relational memory
US10853725B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2019 |
| Grant date | Dec 1, 2020 |
| Priority date | — |
| Expiry date | May 17, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system including one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to implement a memory and memory-based neural network is described. The memory is configured to store a respective memory vector at each of a plurality of memory locations in the memory. The memory-based neural network is configured to: at each of a plurality of time steps: receive an input; determine an update to the memory, wherein determining the update comprising applying an attention mechanism over the memory vectors in the memory and the received input; update the memory using the determined update to the memory; and generate an output for the current time step using the updated memory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.