【Comprssion】《Deep Compression：Compressing Deep Neural Networks with Pruning，Trained QuantizationXXX》

時間 2020-12-23

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ICLR-2016 文章目錄 1 Background and Motivation 2 Advantages / Contributions 3 Method 4 Experiments 4.1 Datasets 5 Conclusion（own） / Future work 1 Background and Motivation 2 Advantages / Contributions 3 M

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1. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記
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1. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記
2. deep compression:compressing deep neural networks with pruning,trained quantization and huffman codi
3. Deep Compression : Compressing Deep Neual Networks With Pruning, Trained Quantization And Huffman Co
4. 2018-22Deep Compression: Compression Deep Neural Networks With Pruning, Trained Quantization And...
5. Compression Deep Neural Networks With Pruning, Trained Quantization And Huffman Coding
6. Channel Pruning for Accelerating Very Deep Neural Networks
7. Brain tumor segmentation with Deep Neural Networks
8. ImageNet Classification with Deep Convolutional Neural Networks
9. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
10. ImageNet Classiﬁcation with Deep Convolutional Neural Networks

>>更多相關文章<<