Approach Experiment References:Speeding up Convolutional Neural Networks with Low Rank ...
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IP属地：四川
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Speed up CNN with Low Rank Expansions -
Dynamic Network SurgeryApproach Han song recently propose to compress DNN by deleting unimportant parameters a...
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Pruning CNN for resource efficient inferenceApproach The proposed scheme for pruning consists of the following steps: Fine-tune the...
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Knowledge Distill via NSTApproach Knowledge Transfer (KT), which aims at training a smaller student network by t...
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A compact DNNApproach The DNN is built on a new basic module Conv-M that provides more diverse featu...
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Inception v1 & v2 & v3 & v4
论文地址： [v1] Going Deeper with Convolutions, 6.67% test error, http://arxiv.org/abs/1409....
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DSD: Dense-Sparse-Dense training for deep neural networkApproach In the first D (Dense) step, we train a dense network to learn connection weig...
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Learning both Weights and ConnectionsApproach After an initial training phase, we remove all connections whose weight is low...
