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Fig. 1 | EURASIP Journal on Advances in Signal Processing

Fig. 1

From: An efficient pruning scheme of deep neural networks for Internet of Things applications

Fig. 1

A high level view of how pruning functions in compressing deep neural networks. Traditional pruning schemes can be divided into two classes, that is, unstructured pruning that simply removes inter-layer connections between neurons while structured pruning removes neurons as well as their connected weights, or channels with their corresponding kernels w.r.t. the convolutional neural network

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