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US Patent 10452978 Attention-based sequence transduction neural networks

Patent 10452978 was granted and assigned to Google on October, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10452978
Date of Patent
October 22, 2019
Patent Application Number
16021971
Date Filed
June 28, 2018
Patent Citations Received
‌
US Patent 11392984 Methods and apparatus for automatically providing item advertisement recommendations
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US Patent 11238341 Efficient encoding and decoding sequences using variational autoencoders
‌
US Patent 11581000 Apparatus and method for encoding/decoding audio signal using information of previous frame
Patent Primary Examiner
‌
David R Vincent
Patent abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. In one aspect, one of the systems includes an encoder neural network configured to receive the input sequence and generate encoded representations of the network inputs, the encoder neural network comprising a sequence of one or more encoder subnetworks, each encoder subnetwork configured to receive a respective encoder subnetwork input for each of the input positions and to generate a respective subnetwork output for each of the input positions, and each encoder subnetwork comprising: an encoder self-attention sub-layer that is configured to receive the subnetwork input for each of the input positions and, for each particular input position in the input order: apply an attention mechanism over the encoder subnetwork inputs using one or more queries derived from the encoder subnetwork input at the particular input position.

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