Multiplication-free approximation for neural networks and sparse coding
US10867142B2 · kind B2 · utility
2Cited by
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Key dates
| Filing date | Jun 29, 2016 |
| Grant date | Dec 15, 2020 |
| Priority date | — |
| Expiry date | Jun 29, 2036 |
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.