公开(公告)号：US20180025257A1

公开(公告)日：2018-01-25

申请号：US15721089

申请日：2017-09-29

Applicant: Google Inc.

Inventor： Aaron Gerard Antonius van den Oord ,  Nal Emmerich Kalchbrenner ,  Karen Simonyan

IPC: G06K9/66 ,  H04N19/52 ,  G06K9/46 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06K9/66 ,  G06K9/4652 ,  G06K9/623 ,  G06N3/04 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/08 ,  G06N3/084 ,  H04N19/172 ,  H04N19/182 ,  H04N19/186 ,  H04N19/50 ,  H04N19/52

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating images using neural networks. One of the methods includes generating the output image pixel by pixel from a sequence of pixels taken from the output image, comprising, for each pixel in the output image, generating a respective score distribution over a discrete set of possible color values for each of the plurality of color channels.

公开(公告)号：US20180075343A1

公开(公告)日：2018-03-15

申请号：US15697407

申请日：2017-09-06

Applicant: Google Inc.

Inventor： Aaron Gerard Antonius van den Oord ,  Sander Etienne Lea Dieleman ,  Nal Emmerich Kalchbrenner ,  Karen Simonyan ,  Oriol Vinyals ,  Lasse Espeholt

IPC: G06N3/04 ,  G06F17/27 ,  G10L25/30 ,  G10L15/16 ,  G10L13/08

CPC classification number: G06N3/0472 ,  G06F17/18 ,  G06F17/2765 ,  G06F17/2818 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/084 ,  G10H2250/311 ,  G10L13/04 ,  G10L13/086 ,  G10L15/16 ,  G10L25/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing sequences using convolutional neural networks. One of the methods includes, for each of the time steps: providing a current sequence of audio data as input to a convolutional subnetwork, wherein the current sequence comprises the respective audio sample at each time step that precedes the time step in the output sequence, and wherein the convolutional subnetwork is configured to process the current sequence of audio data to generate an alternative representation for the time step; and providing the alternative representation for the time step as input to an output layer, wherein the output layer is configured to: process the alternative representation to generate an output that defines a score distribution over a plurality of possible audio samples for the time step.