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US 2025/0061340 A1Published application
Training neural networks independently
AssigneeNVIDIA Corporation
InventorsSharath Turuvekere Sreenivas, Daniel Korzekwa
Life of this patent
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Abstract
Apparatuses, systems, and techniques to train neural networks. In at least one embodiment, a first neural network is trained to match accuracy of a second neural network independently of outputs of the second neural network based on, for example, a third neural network that generates weights for the first neural network.
Claims20
A processor, comprising:
- one or more circuits to cause a first neural network to be trained to match accuracy of a second neural network independently of outputs of the second neural network.
A system, comprising:
- one or more processors to cause a first neural network to be trained to match accuracy of a second neural network independently of outputs of the second neural network.
A method, comprising:
- causing a first neural network to be trained to match accuracy of a second neural network independently of outputs of the second neural network.
Dependencies are inferred from the claim text.