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US 2018/0322368 A1Published application
System an method for batch-normalized recurrent highway networks
AssigneeKodak Alaris Inc.
InventorsChi ZHANG, Raymond PTUCHA, Alexander LOUI, Carl SALVAGGIO
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Abstract
Embodiments of the present disclosure relate to a recurrent framework based on Recurrent Highway Networks (RHNs) for sequence modeling using batch normalization. In certain embodiments, constraints within the RHNs are relaxed to reduce or avoid gradient vanishing or exploding by normalizing the current transition units in highway layers.
Claims14
A computer-implemented method, comprising:
- loading a pre-trained model into a computing network;
- receiving a digital image input, the digital image input containing one or more objects;
- batch normalizing the digital image input;
- applying one or more non-linear transforms to the digital input image to generate one or more transform outputs from the computing network;
- and
- combining the one or more transform outputs to generate a final output from the computing network.
3 more elements
A computer-implemented method, comprising:
- receiving a digital image input, the digital image input containing one or more objects;
- batch normalizing the digital image input;
- applying one or more non-linear transforms to the digital input image to generate one or more transform outputs;
- and
- combining the one or more transform outputs to generate a final output.
2 more elements
Dependencies are inferred from the claim text.