公开(公告)号：US20180189950A1

公开(公告)日：2018-07-05

申请号：US15859943

申请日：2018-01-02

Applicant: Google Inc.

Inventor： Mohammad Norouzi ,  Anelia Angelova ,  Michael Gygli

IPC: G06T7/10 ,  G06N5/04 ,  G06F15/18

CPC classification number: G06T7/10 ,  G06N3/0454 ,  G06N3/084 ,  G06N5/046 ,  G06N20/00 ,  G06T7/11 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A computer-implemented method includes receiving an input data item including a plurality of data elements, and generating a predicted structured output for the input data item. Generating the predicted structured output includes iteratively performing the following operations: receiving a current structured output that assigns, to each of the data elements, a respective current value for each of the one or more categories; processing the input data item and the current output using a value neural network, in which the value neural network has been trained to process the input data item and the current output to generate a value score that is an estimate of how accurately the current output predicts the likelihoods that the elements belong to the one or more categories; and updating the current structured output by adjusting the current values in the current output to increase the value score generated by the value neural network.