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Neural-Network-Model-Compressing
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Complexity
Churn
Issues
A
compression_scripts\mnist_compress.py
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include\caffe\layers\cudnn_tanh_layer.hpp
1 1 -
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examples\mnist\train_mnist_autoencoder.sh
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include\caffe\layers\deconv_layer.hpp
3 1 -
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docs\stylesheets\reset.css
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include\caffe\layers\dns_inner_product_layer.hpp
4 3 -
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examples\mnist\train_mnist_autoencoder_adagrad.sh
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include\caffe\layers\dummy_data_layer.hpp
7 1 -
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.travis.yml
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include\caffe\layers\elu_layer.hpp
2 1 -
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examples\pycaffe\caffenet.py
8 1 -
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include\caffe\layers\euclidean_loss_layer.hpp
3 1 -
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examples\cifar10\convert_cifar_data.cpp
8 1 -
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examples\pycaffe\layers\pyloss.py
9 1 -
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.github\workflows\snorkell-auto-documentation.yml
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compression_scripts\compress_2power_model.py
 1 1
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compression_scripts\dns_to_normal.py
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data\ilsvrc12\get_ilsvrc_aux.sh
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examples\finetune_flickr_style\assemble_data.py
5 1 3
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include\caffe\internal_thread.hpp
2 1 -