├── 1-Pytorch-Intro ├── 1-1_NumPy_Revisit.ipynb ├── 1-2_PyTorch_Simple_Linear.ipynb ├── 1-3_PyTorch_Programming_Sytle.ipynb ├── 1-4_MNIST_CNN.ipynb └── README.md ├── 2-Pruning ├── 1-1_MLP_Pruning.ipynb ├── 1-1_MLP_Pruning_How_to_Save_the_Pruned_Model.ipynb ├── 1-2_CNN_Pruning.ipynb └── README.md ├── 3-Quantization ├── 3-1_Clustering_Quantization.ipynb ├── 3-2_Linear_Quantization.ipynb ├── How_to_save_a_tensor_in_any_bits.ipynb └── README.md ├── 4-Knowledge-Distillation ├── 4-1_Loss_Function_in_Pytorch.ipynb ├── 4-2_Knowledge_Distillation.ipynb └── README.md ├── PPT ├── 01.Pytorch Intro.pptx ├── 02.Pruning.pptx ├── 03.Quantization.pptx ├── 04.Knowledge Distillation.pptx └── README.md └── README.md /1-Pytorch-Intro/1-1_NumPy_Revisit.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mepeichun/Efficient-Neural-Network-Bilibili/HEAD/1-Pytorch-Intro/1-1_NumPy_Revisit.ipynb 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