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US Patent 10339445 Implementation of ResNet in a CNN based digital integrated circuit

Patent 10339445 was granted and assigned to Gyrfalcon Technology on July, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Gyrfalcon Technology
Gyrfalcon Technology
Current Assignee
Gyrfalcon Technology
Gyrfalcon Technology
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10339445
Date of Patent
July 2, 2019
Patent Application Number
15897143
Date Filed
February 14, 2018
Patent Citations
‌
US Patent 10002313 Deeply learned convolutional neural networks (CNNS) for object localization and classification
‌
US Patent 10185891 Systems and methods for compact convolutional neural networks
Patent Citations Received
‌
US Patent 11017307 Explanations generation with different cognitive values using generative adversarial networks
Patent Primary Examiner
‌
Michael S Osinski
Patent abstract

Operations of a combination of first and second original convolutional layers followed by a short path are replaced by operations of a set of three particular convolutional layers. The first contains 2N×N filter kernels formed by placing said N×N filter kernels of the first original convolutional layer in left side and N×N filter kernels of an identity-value convolutional layer in right side. The second contains 2N×2N filter kernels formed by placing the N×N filter kernels of the second original convolutional layer in upper left corner, N×N filter kernels of an identity-value convolutional layer in lower right corner, and N×N filter kernels of two zero-value convolutional layers in either off-diagonal corner. The third contains N×2N of kernels formed by placing N×N filter kernels of a first identity-value convolutional layer and N×N filter kernels of a second identity-value convolutional layer in a vertical stack. Each filter kernel contains 3×3 filter coefficients.

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