Deep learning internal state index-based search and classification
US10380997B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 22, 2018 |
| Grant date | Aug 13, 2019 |
| Priority date | — |
| Expiry date | Aug 22, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed for generating internal state representations of a neural network during processing and using the internal state representations for classification or search. In some embodiments, the internal state representations are generated from the output activation functions of a subset of nodes of the neural network. The internal state representations may be used for classification by training a classification model using internal state representations and corresponding classifications. The internal state representations may be used for search, by producing a search feature from an search input and comparing the search feature with one or more feature representations to find the feature representation with the highest degree of similarity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.