Interactive visualizations for a recurrent neural network
US10324983B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Sep 21, 2018 |
| Grant date | Jun 18, 2019 |
| Priority date | — |
| Expiry date | Sep 21, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Recurrent neural networks (RNNs) can be visualized. For example, a processor can receive vectors indicating values of nodes in a gate of a RNN. The values can result from processing data at the gate during a sequence of time steps. The processor can group the nodes into clusters by applying a clustering method to the values of the nodes. The processor can generate a first graphical element visually indicating how the respective values of the nodes in a cluster changed during the sequence of time steps. The processor can also determine a reference value based on multiple values for multiple nodes in the cluster, and generate a second graphical element visually representing how the respective values of the nodes in the cluster each relate to the reference value. The processor can cause a display to output a graphical user interface having the first graphical element and the second graphical element.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.