tensorflow模型裁剪资料收集

model-optimization官方：

https://github.com/tensorflow/model-optimization
https://github.com/tensorflow/model-optimization/blob/master/tensorflow_model_optimization/g3doc/guide/pruning/pruning_with_keras.ipynb
解读和使用：https://zhuanlan.zhihu.com/p/162776131

tensorflow.contrib.model_pruning.python剪枝模块简单使用：

from tensorflow.contrib.model_pruning.python import pruning
from tensorflow.contrib.model_pruning.python.layers import layers

https://blog.youkuaiyun.com/xue_csdn/article/details/105220985

Channel Pruning for Accelerating Very Deep Neural Networks

论文：https://arxiv.org/pdf/1707.06168.pdf
github：https://github.com/yihui-he/channel-pruning、
https://github.com/Tencent/PocketFlow
解读：https://zhuanlan.zhihu.com/p/87791509
PocketFlow使用文档：https://pocketflow.github.io/cp_learner/

Discrimination-aware Channel Pruning for Deep Neural Networks

论文：https://arxiv.org/pdf/1810.11809.pdf
github：https://github.com/Tencent/PocketFlow
解读：https://blog.youkuaiyun.com/nature553863/article/details/83822895
PocketFlow使用文档：https://pocketflow.github.io/dcp_learner/

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

论文：https://arxiv.org/abs/1802.00124
github：https://github.com/bobye/batchnorm_prune
解读：https://blog.youkuaiyun.com/hw5226349/article/details/84779325