The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 12, 2023

Filed:

Nov. 30, 2018
Applicant:

Deepmind Technologies Limited, London, GB;

Inventors:

Agnieszka Grabska-Barwinska, London, GB;

Peter Toth, London, GB;

Christopher Mattern, London, GB;

Avishkar Bhoopchand, London, GB;

Tor Lattimore, London, GB;

Joel William Veness, London, GB;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/063 (2023.01); G06N 3/047 (2023.01); G06N 3/048 (2023.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G06N 3/063 (2013.01); G06N 3/047 (2023.01); G06N 3/048 (2023.01); G06N 7/01 (2023.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a neural network system comprising one or more gated linear networks. A system includes: one or more gated linear networks, wherein each gated linear network corresponds to a respective data value in an output data sample and is configured to generate a network probability output that defines a probability distribution over possible values for the corresponding data value, wherein each gated linear network comprises a plurality of layers, wherein the plurality of layers comprises a plurality of gated linear layers, wherein each gated linear layer has one or more nodes, and wherein each node is configured to: receive a plurality of inputs, receive side information for the node; combine the plurality of inputs according to a set of weights defined by the side information, and generate and output a node probability output for the corresponding data value.


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