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US 2021/0334644 A1Published application
Neural network training technique
AssigneeNVIDIA Corporation
InventorsZhiding Yu, Wuyang Chen, Anima Anandkumar
Life of this patent
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Abstract
Apparatuses, systems, and techniques to train one or more neural networks. In at least one embodiment, one or more neural networks are trained based, at least in part, on inferencing output from one or more second neural networks.
Claims30
A processor, comprising:
- one or more circuits to train one or more first neural networks based, at least in part, on inferencing output from a one or more second neural networks trained using non-synthetic images.
A system, comprising:
- one or more processors to train one or more first neural networks based, at least in part, on inferencing output from a one or more second neural networks trained using non-synthetic images.
A machine-readable medium having stored thereon a set of instructions, which if performed by one or more processors, cause the one or more processors to at least:
- train one or more first neural networks based, at least in part, on inferencing output from a one or more second neural networks trained using non-synthetic images.
A computing device, comprising:
- one or more processors to perform an image processing task based at least in part on one or more first neural networks trained based, at least in part, on inferencing output from a one or more second neural networks trained using non-synthetic images.
Dependencies are inferred from the claim text.