Patent · US Active

Suggestion and completion of deep learning models from a catalog

US11574233B2 · kind B2 · utility

1Cited by
1References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateAug 30, 2018
Grant dateFeb 7, 2023
Priority date
Expiry dateJun 29, 2040

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/09
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Techniques for the suggestion and completion of deep learning models are disclosed including receiving a set of data and determining at least one property of the data. A plurality of characteristics of a computing device and a plurality of deep learning models are received and a score for each of the plurality of deep learning models is determined based on the received computing device characteristics and the determined at least one property of the data. The plurality of deep learning models are ranked for presentation to a user based on the determined scores. One or more of the deep learning models are presented on a display based on the ranking. A selection of one of the deep learning models is received and the selected deep learning model is trained using the set of data.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.