Patent · US Active

Function creation for database execution of deep learning model

US11599783B1 · kind B1 · utility

2Cited by

0References

14Claims

0Family size

Assignee

Databricks, Inc. · US

Inventors

Sue Ann Hong · Berkeley, US
Shi Xin · San Francisco, US
Timothee Hunter · Berkeley, US
Ali Ghodsi · Berkeley, US

Key dates

Filing date	May 31, 2017
Grant date	Mar 7, 2023
Priority date	—
Expiry date	Nov 26, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/096
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A function creation method is disclosed. The method comprises defining one or more database function inputs, defining cluster processing information, defining a deep learning model, and defining one or more database function outputs. A database function is created based at least in part on the one or more database function inputs, the cluster set-up information, the deep learning model, and the one or more database function outputs. In some embodiments, the database function enables a non-technical user to utilize deep learning models.

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