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Pruning-by-standard-deviation

It is a part of the paper 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

Requirements

Following packages are required for this project

  • Python3.6+
  • tqdm
  • numpy
  • pytorch, torchvision
  • scipy
  • scikit-learn

You can control other values such as

  • random seed
  • epochs
  • sensitivity
  • batch size
  • learning rate
  • and others