Generative neural networks
US10176424B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 3, 2017 |
| Grant date | Jan 8, 2019 |
| Priority date | — |
| Expiry date | Feb 3, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a neural network system. In one aspect, a neural network system includes a recurrent neural network that is configured to, for each time step of a predetermined number of time steps, receive a set of latent variables for the time step and process the latent variables to update a hidden state of the recurrent neural network; and a generative subsystem that is configured to, for each time step, generate the set of latent variables for the time step and provide the set of latent variables as input to the recurrent neural network; update a hidden canvas using the updated hidden state of the recurrent neural network; and, for a last time step, generate an output image using the updated hidden canvas for the last time step.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.