US 12,223,417 B2
Efficient convolution in machine learning environments
Dhawal Srivastava, Scottsdale, AZ (US)
Assigned to INTEL CORPORATION, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on May 24, 2023, as Appl. No. 18/322,988.
Application 18/322,988 is a continuation of application No. 15/859,487, filed on Dec. 30, 2017, granted, now 11,710,028.
Prior Publication US 2023/0419090 A1, Dec. 28, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 3/063 (2023.01); G06F 18/2113 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01)
CPC G06N 3/063 (2013.01) [G06F 18/2113 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01)] 12 Claims
OG exemplary drawing
 
1. An apparatus comprising:
processor circuitry coupled to a memory, the processor circuitry to:
initialize geometric shape-based training of a filter group based on one or more values obtained from a bin, wherein the bin is identified based on the filter group and selected based on a geometric shape of the object; and
initiate geometric shape-specific training of a neural network based on the trained filter group.