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How can I get a value of population(test) moments/variance of BatchNorm. layer in tensor flow?


What does tf.nn.conv2d do in tensorflow?What is the right way to implement the graph of validation process of Batch Normalization in tensorflow?How do I use Batch Normalization during test time in Keras?How does tf.nn.moments calculate variance?Keras BatchNormalization population parameters update while training in tensorflowHow to get the output of dense layer as a numpy array using keras and tensorflow backend?How can I get a tensor output by a tensorflow.layerkeras batchnorm layer moving average for varianceDoes batch normalization in tensorflow use running averages during training?Problem with batch normalization in tensorflow






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0















I want to find a way to get a value of population(test) mean/variance in batchnormalization layer of tensorflow.



I am now using the BN code of :



tf.nn.batch_normalization()


and right now, I am manually calculating the population moments through those codes :



train_mean4 = tf.assign(pop_mean4, pop_mean4 * decay + batch_mean4 * (1 - decay))
train_var4 = tf.assign(pop_var4, pop_var4 * decay + batch_var4 * (1 - decay))


But I want to know the simple way to extract the variables.



Can anyone tell me the way to solve the problem?



Thank you so much.










share|improve this question
































    0















    I want to find a way to get a value of population(test) mean/variance in batchnormalization layer of tensorflow.



    I am now using the BN code of :



    tf.nn.batch_normalization()


    and right now, I am manually calculating the population moments through those codes :



    train_mean4 = tf.assign(pop_mean4, pop_mean4 * decay + batch_mean4 * (1 - decay))
    train_var4 = tf.assign(pop_var4, pop_var4 * decay + batch_var4 * (1 - decay))


    But I want to know the simple way to extract the variables.



    Can anyone tell me the way to solve the problem?



    Thank you so much.










    share|improve this question




























      0












      0








      0








      I want to find a way to get a value of population(test) mean/variance in batchnormalization layer of tensorflow.



      I am now using the BN code of :



      tf.nn.batch_normalization()


      and right now, I am manually calculating the population moments through those codes :



      train_mean4 = tf.assign(pop_mean4, pop_mean4 * decay + batch_mean4 * (1 - decay))
      train_var4 = tf.assign(pop_var4, pop_var4 * decay + batch_var4 * (1 - decay))


      But I want to know the simple way to extract the variables.



      Can anyone tell me the way to solve the problem?



      Thank you so much.










      share|improve this question
















      I want to find a way to get a value of population(test) mean/variance in batchnormalization layer of tensorflow.



      I am now using the BN code of :



      tf.nn.batch_normalization()


      and right now, I am manually calculating the population moments through those codes :



      train_mean4 = tf.assign(pop_mean4, pop_mean4 * decay + batch_mean4 * (1 - decay))
      train_var4 = tf.assign(pop_var4, pop_var4 * decay + batch_var4 * (1 - decay))


      But I want to know the simple way to extract the variables.



      Can anyone tell me the way to solve the problem?



      Thank you so much.







      tensorflow batch-normalization






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 27 at 6:05









      Sidney

      2,2031 gold badge6 silver badges23 bronze badges




      2,2031 gold badge6 silver badges23 bronze badges










      asked Mar 27 at 5:55









      Hyunkyu ParkHyunkyu Park

      33 bronze badges




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