Title:
PIPELINES FOR EFFICIENT TRAINING AND DEPLOYMENT OF MACHINE LEARNING MODELS
Document Type and Number:
Japanese Patent JP2022123817
Kind Code:
A
Abstract:
To provide pipelines for efficient training and deployment of machine learning models.SOLUTION: The invention allows training and retraining of machine learning models (MLMs) for user-specific target platforms, changing parameters and architecture of previously trained MLMs, selecting and configuring previously trained MLMs, adapting selected MLMs to serve user-specific needs, integrating selected MLMs into further customizable workflows, deploying the customized workflows on user and cloud hardware, inputting actual inference data, reading, storing and managing inference outputs, and so on.SELECTED DRAWING: Figure 5
Inventors:
JONATHAN MICHAEL COHEN
RYAN EDWARD LEARY
SCOT DUANE JUNKIN
PURNENDU MUKHERJEE
JOAO FELIPE SANTOS
TOMASZ KORNUTA
VARUN PRAVEEN
RYAN EDWARD LEARY
SCOT DUANE JUNKIN
PURNENDU MUKHERJEE
JOAO FELIPE SANTOS
TOMASZ KORNUTA
VARUN PRAVEEN
Application Number:
JP2021147468A
Publication Date:
August 24, 2022
Filing Date:
September 10, 2021
Export Citation:
Assignee:
NVIDIA CORP
International Classes:
G06N3/08; G06N3/06; G10L13/047; G10L15/16
Attorney, Agent or Firm:
Asamura patent office