公开(公告)号：US20200090039A1

公开(公告)日：2020-03-19

申请号：US16494842

申请日：2017-11-17

Applicant: Google LLC

Inventor： Yang Song ,  Yuan Li ,  Bo Wu ,  Chao-Yeh Chen ,  Xiao Zhang ,  Hartwig Adam

IPC: G06N3/08 ,  G06N20/00 ,  G06K9/32

Abstract: A computer-implemented method for generating a unified machine learning model using a neural network on a data processing apparatus is described. The method includes the data processing apparatus determining respective learning targets for each of a plurality of object verticals. The data processing apparatus determines the respective learning targets based on two or more embedding outputs of the neural network. The method also includes the data processing apparatus training the neural network to identify data associated with each of the plurality of object verticals. The data processing apparatus trains the neural network using the respective learning targets and based on a first loss function. The data processing apparatus uses the neural network trained to generate a unified machine learning model, where the model is configured to identify particular data items associated with each of the plurality of object verticals.