Dropout layer in a neural network processor
US12159218B1 · kind B1 · utility
1Cited by
1References
17Claims
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Key dates
| Filing date | Jul 27, 2020 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Jul 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A single instruction multiple data (SIMD) processor is used to implement a dropout layer between a first layer and a second layer of a neural network. The SIMD processor can implement the dropout layer by setting one or more elements in an output tensor of the first layer to zero before providing it as an input tensor to the second layer. Setting of the one or more elements to zero is based on a dropout rate, and pseudo-random numbers generated by a random number generator in the SIMD processor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.