Visual analytics system for convolutional neural network based classifiers
US10984054B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2018 |
| Grant date | Apr 20, 2021 |
| Priority date | — |
| Expiry date | Jan 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A visual analytics method and system is disclosed for visualizing an operation of an image classification model having at least one convolutional neural network layer. The image classification model classifies sample images into one of a predefined set of possible classes. The visual analytics method determines a unified ordering of the predefined set of possible classes based on a similarity hierarchy such that classes that are similar to one another are clustered together in the unified ordering. The visual analytics method displays various graphical depictions, including a class hierarchy viewer, a confusion matrix, and a response map. In each case, the elements of the graphical depictions are arranged in accordance with the unified ordering. Using the method, a user a better able to understand the training process of the model, diagnose the separation power of the different feature detectors of the model, and improve the architecture of the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.