Patent ID: 11928574
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computing system, comprising:
one or more processors; and
one or more non-transitory computer-readable media that store:
a machine-learned convolutional neural network; and
instructions that, when executed by the one or more processors, cause the computing system to employ the machine-learned convolutional neural network to process input image data to output an inference;
wherein the machine-learned convolutional neural network comprises a plurality of convolutional blocks arranged in a sequence one after the other;
wherein the plurality of convolutional blocks comprise two or more convolutional blocks that each perform an inverted bottleneck convolution to produce an output; and
wherein at least two of the two or more convolutional blocks apply convolutional kernels that have different respective kernel sizes to respectively perform the inverted bottleneck convolution.