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ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
時間 2020-12-23
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ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 1. 架構 在給定預先訓練的模型的情況下,將以預定義的壓縮率逐層修剪該模型。框架總體如下: 濾波器選擇。如果我們能用第 ( i + 1 ) (i+1) (i+1)層輸入中的一個通道子集來近似第 i + 1 i+1 i+1層的輸出,可以將 ( i + 1
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相關文章
1.
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 閱讀筆記
2.
【ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression】論文筆記
3.
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression筆記
4.
Reading Note: ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
5.
論文筆記——ThiNet: A Filter Level Pruning Method for Deep Neural Network Compreesion
6.
【論文閱讀筆記】Deep Neural Network Compression with Single and Multiple Level Quantization
7.
An Entropy-based Pruning Method for CNN Compression
8.
Channel Pruning for Accelerating Very Deep Neural Networks
9.
2018-22Deep Compression: Compression Deep Neural Networks With Pruning, Trained Quantization And...
10.
Deep Compression : Compressing Deep Neual Networks With Pruning, Trained Quantization And Huffman Co
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