Invention Grant
- Patent Title: Learning in time varying, dissipative electrical networks
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Application No.: US17685335Application Date: 2022-03-02
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Publication No.: US11551091B2Publication Date: 2023-01-10
- Inventor: Jack David Kendall
- Applicant: Rain Neuromorphics Inc.
- Applicant Address: US CA San Francisco
- Assignee: Rain Neuromorphics Inc.
- Current Assignee: Rain Neuromorphics Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Van Pelt, Yi & James LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/063

Abstract:
A method for performing learning in a dissipative learning network is described. The method includes determining a trajectory for the dissipative learning network and determining a perturbed trajectory for the dissipative learning network based on a plurality of target outputs. Gradients for a portion of the dissipative learning network are determined based on the trajectory and the perturbed trajectory. The portion of the dissipative learning network is adjusted based on the gradients.
Public/Granted literature
- US20220284291A1 LEARNING IN TIME VARYING, DISSIPATIVE ELECTRICAL NETWORKS Public/Granted day:2022-09-08
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