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.idea/dictionaries/zhanghao.xml

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batch_normalization/.idea/batch_normalization.iml

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batch_normalization/.idea/dictionaries/zhanghao.xml

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batch_normalization/.idea/inspectionProfiles/Project_Default.xml

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batch_normalization/.idea/misc.xml

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batch_normalization/.idea/modules.xml

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batch_normalization/.idea/workspace.xml

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batch_normalization/batch_norm_cnn_example_1.py

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import tensorflow as tf
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from tensorflow.examples.tutorials.mnist import input_data
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from nn_functions import multiclass_log_loss
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from cnn_model import batch_norm_cnn
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from batch_normalization.nn_functions import multiclass_log_loss
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from batch_normalization.cnn_model import batch_norm_cnn
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # suppress tensorflow warnings
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batch_normalization/batch_norm_cnn_example_2.py

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import tensorflow as tf
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from tensorflow.examples.tutorials.mnist import input_data
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from nn_functions import multiclass_log_loss
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from cnn_model import batch_norm_cnn
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from batch_normalization.nn_functions import multiclass_log_loss
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from batch_normalization.cnn_model import batch_norm_cnn
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # suppress tensorflow warnings
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batch_normalization/cnn_model.py

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import tensorflow as tf
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from nn_layers import Conv2dLayer, MaxPooling2dLayer, DenseLayer, SoftmaxLayer
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from nn_functions import batch_normalization
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from batch_normalization.nn_layers import Conv2dLayer, MaxPooling2dLayer, DenseLayer, SoftmaxLayer
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from batch_normalization.nn_functions import batch_normalization
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def batch_norm_cnn(x, y_, keep_prob, phase_train):

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