公开(公告)号：US20170228637A1

公开(公告)日：2017-08-10

申请号：US15396289

申请日：2016-12-30

Applicant: Google Inc.

Inventor： Adam Anthony Santoro ,  Daniel Pieter Wierstra ,  Timothy Paul Lillicrap ,  Sergey Bartunov ,  Ivo Danihelka

IPC: G06N3/063 ,  G06N3/08 ,  G06N3/04

CPC classification number: G06N3/063 ,  G06F12/123 ,  G06N3/04 ,  G06N3/0445 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting neural networks with an external memory. One of the systems includes a controller neural network that includes a Least Recently Used Access (LRUA) subsystem configured to: maintain a respective usage weight for each of a plurality of locations in the external memory, and for each of the plurality of time steps: generate a respective reading weight for each location using a read key, read data from the locations in accordance with the reading weights, generate a respective writing weight for each of the locations from a respective reading weight from a preceding time step and the respective usage weight for the location, write a write vector to the locations in accordance with the writing weights, and update the respective usage weight from the respective reading weight and the respective writing weight.