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caffe
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A
scripts\copy_notebook.py
 2 -
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src\caffe\test\test_data_transformer.cpp
31 4 -
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src\caffe\test\test_softmax_with_loss_layer.cpp
8 6 -
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src\caffe\test\test_deconvolution_layer.cpp
21 4 -
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include\caffe\layers\infogain_loss_layer.hpp
8 2 -
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src\caffe\test\test_eltwise_layer.cpp
16 6 -
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src\caffe\test\test_im2col_kernel.cu
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src\caffe\test\test_euclidean_loss_layer.cpp
5 7 -
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scripts\download_model_from_gist.sh
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src\caffe\test\test_filter_layer.cpp
10 3 -
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src\caffe\test\test_image_data_layer.cpp
15 8 -
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src\caffe\test\test_tile_layer.cpp
23 3 -
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src\caffe\test\test_threshold_layer.cpp
11 4 -
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src\caffe\test\test_scale_layer.cpp
57 1 -
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src\caffe\test\test_reshape_layer.cpp
17 3 -
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src\caffe\test\test_multinomial_logistic_loss_layer.cpp
4 7 -
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examples\mnist\train_mnist_autoencoder_adadelta.sh
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include\caffe\layers\crop_layer.hpp
4 2 -
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include\caffe\syncedmem.hpp
7 10 -
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src\caffe\layers\hdf5_data_layer.cpp
27 14 -