Web: http://arxiv.org/abs/2205.02131

May 5, 2022, 1:12 a.m. | Kaveena Persand, Andrew Anderson, David Gregg

cs.LG updates on arXiv.org arxiv.org

Channel pruning is used to reduce the number of weights in a Convolutional
Neural Network (CNN). Channel pruning removes slices of the weight tensor so
that the convolution layer remains dense. The removal of these weight slices
from a single layer causes mismatching number of feature maps between layers of
the network. A simple solution is to force the number of feature map between
layers to match through the removal of weight slices from subsequent layers.
This additional constraint becomes …

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