Deep learning apparatus for ANN having pipeline architecture
US12020141B2 · kind B2 · utility
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Key dates
| Filing date | Aug 16, 2018 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Mar 5, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0895
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A deep learning apparatus for an artificial neural network (ANN) having pipeline architecture. The deep learning apparatus for an ANN simultaneously performs output value processing, corrected input data processing, corrected output value processing, weight correction, input bias correction, and output bias correction using pipeline architecture, thereby reducing calculation time for learning and reducing required memory capacity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.