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How to freeze some weights in the same layer easily in tensorflow?



The 2019 Stack Overflow Developer Survey Results Are InHow to return multiple values from a function?Peak detection in a 2D arrayCatch multiple exceptions in one line (except block)Creating a singleton in Python“Large data” work flows using pandasTensorflow: how to save/restore a model?How to prevent tensorflow from allocating the totality of a GPU memory?Tensorflow: Weights of non-trainable model layers are updatedtensorflow, access inner elements of a variable and freeze some of themNot fully connected layer in tensorflow



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I know that tf.constant can freeze the weights and tf.contrib.framework.get_variables_to_restore() can freeze the weight in the same layer as well.



But my question is that if I only want to freeze some weights in matrix A[10][10] ,like A[1,1],A[3,5],A[7,9],are there any easy way for me to freeze them? Or I have to create several small matrix and combine them ?










share|improve this question




























    0















    I know that tf.constant can freeze the weights and tf.contrib.framework.get_variables_to_restore() can freeze the weight in the same layer as well.



    But my question is that if I only want to freeze some weights in matrix A[10][10] ,like A[1,1],A[3,5],A[7,9],are there any easy way for me to freeze them? Or I have to create several small matrix and combine them ?










    share|improve this question
























      0












      0








      0








      I know that tf.constant can freeze the weights and tf.contrib.framework.get_variables_to_restore() can freeze the weight in the same layer as well.



      But my question is that if I only want to freeze some weights in matrix A[10][10] ,like A[1,1],A[3,5],A[7,9],are there any easy way for me to freeze them? Or I have to create several small matrix and combine them ?










      share|improve this question














      I know that tf.constant can freeze the weights and tf.contrib.framework.get_variables_to_restore() can freeze the weight in the same layer as well.



      But my question is that if I only want to freeze some weights in matrix A[10][10] ,like A[1,1],A[3,5],A[7,9],are there any easy way for me to freeze them? Or I have to create several small matrix and combine them ?







      python tensorflow






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 22 at 3:29









      user10471408user10471408

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