Generating coded data representations using neural networks and vector quantizers
AssigneeGoogle Inc.
InventorsNeil Zeghidour, Marco Tagliasacchi, Dominik Roblek
Life of this patent
Estimating the term…
Loading patent…
AssigneeGoogle Inc.
InventorsNeil Zeghidour, Marco Tagliasacchi, Dominik Roblek
Estimating the term…
Methods, systems and apparatus, including computer programs encoded on computer storage media. According to one aspect, there is provided a method comprising: receiving a new input; processing the new input using an encoder neural network to generate a feature vector representing the new input; and generating a coded representation of the feature vector using a sequence of vector quantizers that are each associated with a respective codebook of code vectors, wherein the coded representation of the feature vector identifies a plurality of code vectors, including a respective code vector from the codebook of each vector quantizer, that define a quantized representation of the feature vector.
(canceled)
A method performed by one or more computers, the method comprising:
A system comprising one or more computers and one or more storage devices communicatively coupled to the one or more computers, wherein the one or more storage devices store instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:
One or more non-transitory computer storage media storing instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising:
Dependencies are inferred from the claim text.