Low precision neural networks using subband decomposition
US11676024B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2017 |
| Grant date | Jun 13, 2023 |
| Priority date | — |
| Expiry date | Aug 17, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/086
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Artificial neural network systems involve the receipt by a computing device of input data that defines a pattern to be recognized (such as faces, handwriting, and voices). The computing device may then decompose the input data into a first subband and a second subband, wherein the first and second subbands include different characterizing features of the pattern in the input data. The first and second subbands may then be fed into first and second neural networks being trained to recognize the pattern. Reductions in power expenditure, memory usage, and time taken, for example, allow resource-limited computing devices to perform functions they otherwise could not.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.