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US 2023/0145535 A1Published application
Neural network training technique
AssigneeNVIDIA Corporation
InventorsAli Hatamizadeh, Daguang Xu, Xiaosong Wang, Lickkong Tam, Riddhish Bhalodia
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Abstract
Apparatuses, systems, and techniques to train a neural network to infer a condition based on an image. In at least one embodiment, a first portion of a neural network is trained to infer a condition from an image using a first dataset, and a second portion of the neural network is trained using a second dataset.
Claims31
A processor, comprising:
- one or more circuits to train a first portion of a neural network using a first dataset and a second portion of the neural network using a second dataset.
A system, comprising:
- one or more processors to train a first portion of a neural network using a first dataset and a second portion of the neural network using a second dataset.
A processor comprising:
- one or more circuits to use a neural network to infer information about a first dataset based, at least in part, on a second dataset.
A method, comprising:
- training a neural network to diagnose a condition depicted in a diagnostic image, based at least in part on a first dataset comprising a set of diagnostic images and a second dataset comprising a set of diagnostic reports corresponding to diagnostic images in the set of diagnostic images.
Dependencies are inferred from the claim text.