Patent ID: 11875263
Assignee: NOTA, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 0:
1. A network pruning method executed by a computer device comprising at least one processor configured to execute computer-readable instructions included in a memory, wherein the method comprises:
measuring, by the at least one processor, importance scores for output channels through a decomposition approach for quantifying energy of an output channel in a specific layer of a deep learning model; and
pruning, by the at least one processor, the deep learning model based on the importance scores by removing at least one filter in the specific layer of the deep learning model,
wherein the decomposition approach for the quantifying energy of the output channel comprises,
decomposing a channel output of the output channel such that decomposed values that correspond to the output channel are derived, and
computing quantified energy representing an importance score for the output channel based on the decomposed values.