公开(公告)号：US20210097401A1

公开(公告)日：2021-04-01

申请号：US16968336

申请日：2019-02-11

Applicant: DeepMind Technologies Limited

Inventor： Tiago Miguel Sargento Pires Ramalho ,  Dan Rosenbaum ,  Marta Garnelo ,  Christopher Maddison ,  Seyed Mohammadali Eslami ,  Yee Whye Teh ,  Danilo Jimenez Rezende

IPC: G06N3/08 ,  G06N3/04 ,  A63F13/67

Abstract: According to a first aspect a network system to generate output data values from input data values according to one or In more learned data distributions comprises an input to receive a set of observations, each comprising a respective first data value for a first variable and a respective second data value for a second variable dependent upon the first variable. The system may comprise an encoder neural network system configured to encode each observation of the set of observations to provide an encoded output for each observation. The system may further comprise an aggregator configured to aggregate the encoded outputs for the set of observations and provide an aggregated output. The system may further comprise a decoder neural network system configured to receive a combination of the aggregated output and a target input value and to provide a decoder output. The target input value may comprise a value for the first variable and the decoder output may predict a corresponding value for the second variable.