| CPC G06N 3/082 (2013.01) [G06N 3/04 (2013.01)] | 20 Claims |
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1. A computing system for relaxing spatial invariance in a neural network, comprising:
one or more processors; and
one or more non-transitory computer-readable media that collectively store:
a neural network comprising one or more layers with relaxed spatial invariance, wherein each of the one or more layers is configured to:
receive a respective layer input;
convolve a plurality of different kernels against the respective layer input to generate a plurality of intermediate outputs, each of the plurality of intermediate outputs having a plurality of portions;
relax spatial invariance of the plurality of different kernels by applying, for each of the plurality of intermediate outputs, a respective plurality of weights respectively associated with the plurality of portions to generate a respective weighted output; and
generate a respective layer output based on the weighted outputs; and
instructions that, when executed by the one or more processors, cause the computing system to perform operations, the operations including using the neural network to process a network input to generate a network output.
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