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DEEP COMPRESSION: COMPRESSING DEEP NEURAL NETWORKSWITH PRUNINGTRAINED QUANTIZATION ANDHUFFMANCODING

DEEP COMPRESSION: COMPRESSING DEEP NEURAL NETWORKS WITH PRUNING, TRAINED QUANTIZATION AND HUFFMAN CODING: 深度压缩:用剪枝、训练量化和霍夫曼编码压缩深度神经网络

  • 第一篇
  • ABSTRACT
  • 1 INTRODUCTION
  • 2 NETWORK PRUNING(网络剪枝-暂时不看这部分!
  • 3 TRAINED QUANTIZATION AND WEIGHT SHARING(量化和分享训练有素的权重)
    • 3.1 WEIGHT Sharing
    • 3.2 INITIALIZATION OF SHARED WEIGHTS(初始权重)
    • 3.3 FEED-FORWARD AND BACK-PROPAGATION(前向传播和反向传播)
  • 4 HUFFMAN CODING(霍夫曼编码)
  • 5 EXPER

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