Multiplication-free approximation for neural networks and sparse coding
US11232273B2 · kind B2 · utility
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Key dates
| Filing date | Oct 12, 2020 |
| Grant date | Jan 25, 2022 |
| Priority date | — |
| Expiry date | Oct 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2207/4824
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, apparatuses and methods may provide for replacing floating point matrix multiplication operations with an approximation algorithm or computation in applications that involve sparse codes and neural networks. The system may replace floating point matrix multiplication operations in sparse code applications and neural network applications with an approximation computation that applies an equivalent number of addition and/or subtraction operations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.