- Patent Title: Real-time resource usage reduction in artificial neural networks
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Application No.: US16293700Application Date: 2019-03-06
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Publication No.: US11461637B2Publication Date: 2022-10-04
- Inventor: Taro Sekiyama , Kiyokuni Kawachiya , Tung D. Le , Yasushi Negishi
- 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 Kelsey M. Skodje
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04
Abstract:
A generated algorithm used by a neural network is captured during execution of an iteration of the neural network. A candidate algorithm is identified based on the generated algorithm. A determination is made that the candidate algorithm utilizes less memory than the generated algorithm. Based on the determination the neural network is updated by replacing the generated algorithm with the candidate algorithm.
Public/Granted literature
- US20190205755A1 REAL-TIME RESOURCE USAGE REDUCTION IN ARTIFICIAL NEURAL NETWORKS Public/Granted day:2019-07-04
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