Convolutional neural network
AssigneeHewlett Packard Enterprise Development LP
InventorsMartin FOLTIN, John Paul STRACHAN, Sergey SEREBRYAKOV
Life of this patent
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Abstract
A convolutional neural network system includes a first part of the convolutional neural network comprising an initial processor configured to process an input data set and store a weight factor set in the first part of the convolutional neural network; and a second part of the convolutional neural network comprising a main computing system configured to process an export data set provided from the first part of the convolutional neural network.
Claims20
A convolutional neural network system comprising:
- a first part of the convolutional neural network comprising an initial processor configured to process an input data set and store a weight factor set in the first part of the convolutional neural network;
- and
- a second part of the convolutional neural network comprising a main computing system configured to process an export data set provided from the first part of the convolutional neural network.
A method of processing data, the method comprising:
- inputting a data set into a first part of a convolutional neural network, wherein a first portion of a weight factor set is stored in the first part of the convolutional neural network;
- processing the data set in the first part of the convolutional neural network using the first portion of the weight factor set;
- outputting the processed data from the first part of the convolutional neural network to a second part of the convolutional neural network;
- and
- processing the processed data in the second part of the convolutional neural network with a second portion of the weight factor set.
A method of optimizing convolutional neural networks, the method comprising:
- separating a convolutional neural network into a first part and a second part, wherein the first part comprises an initial data processing and the second part comprises a final data processing;
- storing weight factor sets on the first part of the convolutional neural network;
- and
- dividing the weight factor sets based on at least one division parameter.
Dependencies are inferred from the claim text.