Machine learning method and machine learning device
US11663462B2 · kind B2 · utility
1Cited by
2References
14Claims
0Family size
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Key dates
| Filing date | Jul 10, 2018 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | Oct 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0495
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning method and a machine learning device are provided. The machine learning method includes: receiving an input signal and performing normalization on the input signal; transmitting the normalized input signal to a convolutional layer; and adding a sparse coding layer after the convolutional layer, wherein the sparse coding layer uses dictionary atoms to reconstruct signals on a projection of the normalized input signal passing through the convolutional layer, and the sparse coding layer receives a mini-batch input to refresh the dictionary atoms.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.