Invention Grant
- Patent Title: Deep learning model insights using provenance data
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Application No.: US16429250Application Date: 2019-06-03
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Publication No.: US11544566B2Publication Date: 2023-01-03
- Inventor: Nitin Gupta , Himanshu Gupta , Rajmohan Chandrahasan , Sameep Mehta , Pranay Kumar Lohia
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agent Daniel J. Hakimi
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06K9/62 ; G06N3/04
Abstract:
A method, computer system, and a computer program product for generating deep learning model insights using provenance data is provided. Embodiments of the present invention may include collecting provenance data. Embodiments of the present invention may include generating model insights based on the collected provenance data. Embodiments of the present invention may include generating a training model based on the generated model insights. Embodiments of the present invention may include reducing the training model size. Embodiments of the present invention may include creating a final trained model.
Public/Granted literature
- US20200380367A1 DEEP LEARNING MODEL INSIGHTS USING PROVENANCE DATA Public/Granted day:2020-12-03
Information query
