Replication of neural network layers
US11604973B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 27, 2019 |
| Grant date | Mar 14, 2023 |
| Priority date | — |
| Expiry date | Jun 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0495
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments provide a method for training parameters of a machine-trained (MT) network. The method receives an MT network with multiple layers of nodes, each of which computes an output value based on a set of input values and a set of trained weight values. Each layer has a set of allowed weight values. For a first layer with a first set of allowed weight values, the method defines a second layer with nodes corresponding to each of the nodes of the first layer, each second-layer node receiving the same input values as the corresponding first-layer node. The second layer has a second, different set of allowed weight values, with the output values of the nodes of the first layer added with the output values of the corresponding nodes of the second layer to compute output values that are passed to a subsequent layer. The method trains the weight values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.