CPC G06N 3/08 (2013.01) [G06F 18/214 (2023.01); G06N 20/10 (2019.01); G06V 10/454 (2022.01); G06V 10/462 (2022.01); G06V 10/82 (2022.01)] | 18 Claims |
1. A method, comprising:
receiving a first input of an image in a first orientation; and
training a kernel to be symmetric, thereby causing an output corresponding to the first input to be identical to an output corresponding to a second input of the image in a second orientation, and
training a convolutional neural network to be symmetric by training multiple kernels at different layers to be symmetric,
wherein the second orientation is a flipped version of the image with respect to the first orientation of the image.
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