Patents by Inventor Jonathan Shlens

Jonathan Shlens has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10699191
    Abstract: This specification describes methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a larger neural network from a smaller neural network. One of the described methods includes obtaining data specifying an original neural network and generating a larger neural network from the original neural network The larger neural network has a larger neural network structure than the original neural network structure. The values of the parameters of the original neural network units and the additional neural network units are initialized so that the larger neural network generates the same outputs from the same inputs as the original neural network and the larger neural network is trained to determine trained values of the parameters of the original neural network units and the additional neural network units from the initialized values.
    Type: Grant
    Filed: November 11, 2016
    Date of Patent: June 30, 2020
    Assignee: Google LLC
    Inventors: Ian Goodfellow, Tianqi Chen, Jonathan Shlens