Patent ID: 11941533
Assignee: PERCEIVE CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The method of claim 1, wherein the particular layer is a first layer, the identified set of filter-channels is a first set of filter channels that comprises all of the filter-channels of a first filter, the particular output-value-channel is a first output-value-channel, and modifying the specification of the neural network generates a first modified specification of the neural network, the method further comprising, after modifying the specification of the neural network and prior to generating the set of program instructions:
based on the first modified neural network specification, identifying a second set of filter-channels of a second layer of the neural network, each filter-channel in the second set of filter-channels comprising only zero weight values, wherein the second set of filter-channels is only identified after removal of filter-channels and output-value channels to generate the first modified specification of the neural network; and
when the second set of filter channels comprises all of the filter channels of a second filter that is used to generate a second output-value-channel of the second layer, modifying the first modified specification of the neural network to generate a second modified specification of the neural network by (i) removing the second filter, (ii) removing the second output-value-channel of the second layer, and (iii) removing filter channels, corresponding to the second output-value-channel, of each of the filters of a layer subsequent to the second layer that uses the output-value-channels of the second layer, wherein generating the set of program instructions comprises generating the set of program instructions for the NNIC to use to execute the second modified specification of the neural network.