Efficient learning and using of topologies of neural networks in machine learning
US11501152B2 · kind B2 · utility
3Cited by
4References
22Claims
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Key dates
| Filing date | Jul 26, 2017 |
| Grant date | Nov 15, 2022 |
| Priority date | — |
| Expiry date | Sep 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T1/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A mechanism is described for facilitating learning and application of neural network topologies in machine learning at autonomous machines. A method of embodiments, as described herein, includes monitoring and detecting structure learning of neural networks relating to machine learning operations at a computing device having a processor, and generating a recursive generative model based on one or more topologies of one or more of the neural networks. The method may further include converting the generative model into a discriminative model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.