Invention Grant
- Patent Title: Training generative adversarial networks
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Application No.: US16797377Application Date: 2020-02-21
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Publication No.: US11636345B2Publication Date: 2023-04-25
- Inventor: Omid Bonakdar Sakhi
- 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 David K. Mattheis
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/084

Abstract:
Improving the training of generative adversarial networks by identifying the input and output layers in the generator network, assigning a gradient multiplier to each layer, and multiplying the gradient by the multiplier during back-propagation and before applying the product of the gradient and multiplier to node weights of the layers.
Public/Granted literature
- US20210264280A1 TRAINING GENERATIVE ADVERSARIAL NETWORKS Public/Granted day:2021-08-26
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