Patents by Inventor Wai Kit Ricky FOK

Wai Kit Ricky FOK 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).

  • Parallel residual neural network architecture and system and method for training a residual neural network
    Patent number: 11645536
    Abstract: Systems and methods for training a residual neural network are described. One of the methods includes: initializing one or more weights of each of a plurality of residual units; inputting a plurality of training cases to a first warp unit in a series; using each training case to optimize the one or more weights for each residual unit in parallel in the first warp unit in the series; starting with the output of the first warp unit in the series, iteratively propagating the output of each warp unit to the input of a next respective warp unit in the series, for each respective warp unit, using each training case to optimize the one or more weights for each residual unit in parallel in the respective warp unit; and storing the output of the last warp unit in the series and the weights for each residual unit.
    Type: Grant
    Filed: January 22, 2019
    Date of Patent: May 9, 2023
    Inventors: Wai Kit Ricky Fok, Aijun An, Xiaogang Wang
  • PARALLEL RESIDUAL NEURAL NETWORK ARCHITECTURE AND SYSTEM AND METHOD FOR TRAINING A RESIDUAL NEURAL NETWORK
    Publication number: 20190236454
    Abstract: Systems and methods for training a residual neural network are described. One of the methods includes: initializing one or more weights of each of a plurality of residual units; inputting a plurality of training cases to a first warp unit in a series; using each training case to optimize the one or more weights for each residual unit in parallel in the first warp unit in the series; starting with the output of the first warp unit in the series, iteratively propagating the output of each warp unit to the input of a next respective warp unit in the series, for each respective warp unit, using each training case to optimize the one or more weights for each residual unit in parallel in the respective warp unit; and storing the output of the last warp unit in the series and the weights for each residual unit.
    Type: Application
    Filed: January 22, 2019
    Publication date: August 1, 2019
    Inventors: Wai Kit Ricky FOK, Aijun AN, Xiaogang WANG