Invention Application
US20150294219A1 PARALLELIZING THE TRAINING OF CONVOLUTIONAL NEURAL NETWORKS 审中-公开
并行训练神经网络

  • Patent Title: PARALLELIZING THE TRAINING OF CONVOLUTIONAL NEURAL NETWORKS
  • Patent Title (中): 并行训练神经网络
  • Application No.: US14684186
    Application Date: 2015-04-10
  • Publication No.: US20150294219A1
    Publication Date: 2015-10-15
  • Inventor: Alexander Krizhevsky
  • Applicant: Google Inc.
  • Main IPC: G06N3/08
  • IPC: G06N3/08 G06N3/04
PARALLELIZING THE TRAINING OF CONVOLUTIONAL NEURAL NETWORKS
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a convolutional neural network (CNN). The system includes a plurality of workers, wherein each worker is configured to maintain a respective replica of each of the convolutional layers of the CNN and a respective disjoint partition of each of the fully-connected layers of the CNN, wherein each replica of a convolutional layer includes all of the nodes in the convolutional layer, and wherein each disjoint partition of a fully-connected layer includes a portion of the nodes of the fully-connected layer.
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