Visualizing deep neural networks
US9934462B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 2, 2017 |
| Grant date | Apr 3, 2018 |
| Priority date | — |
| Expiry date | May 2, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/105
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Deep neural networks can be visualized. For example, first values for a first layer of nodes in a neural network, second values for a second layer of nodes in the neural network, and/or third values for connections between the first layer of nodes and the second layer of nodes can be received. A quilt graph can be output that includes (i) a first set of symbols having visual characteristics representative of the first values and representing the first layer of nodes along a first axis; (ii) a second set of symbols having visual characteristics representative of the second values and representing the second layer of nodes along a second axis; and/or (iii) a matrix of blocks between the first axis and the second axis having visual characteristics representative of the third values and representing the connections between the first layer of nodes and the second layer of nodes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.