What are the possible values of a filter in a CNN












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I am a trying to write a CNN from scratch in python but I am bit new to CNNs specifically the convolution layers as I am comfortable with the dense layers. I was reading Do filters have different weights for each input channel but I didn't completely understand and had a few questions. I wanted to confirm that if the input layer had 3 channels then for there to be 4 output channels you would need a total of 12 filters.



Also, can the weights(actually I am not completely sure that I know what the weights are, they are the values of the kernels right?) of a filter be a floating number as I commonly see them being described as -1, 0 ,1.



And finally, are the weights of the kernels. initialised once or rather are they changed during back propagation, as I used to have the notion that only the bias and dense layer would be changed.



Thank you so much for you time, any help is greatly appreciated.









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    $begingroup$


    I am a trying to write a CNN from scratch in python but I am bit new to CNNs specifically the convolution layers as I am comfortable with the dense layers. I was reading Do filters have different weights for each input channel but I didn't completely understand and had a few questions. I wanted to confirm that if the input layer had 3 channels then for there to be 4 output channels you would need a total of 12 filters.



    Also, can the weights(actually I am not completely sure that I know what the weights are, they are the values of the kernels right?) of a filter be a floating number as I commonly see them being described as -1, 0 ,1.



    And finally, are the weights of the kernels. initialised once or rather are they changed during back propagation, as I used to have the notion that only the bias and dense layer would be changed.



    Thank you so much for you time, any help is greatly appreciated.









    share







    New contributor




    teclnol is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







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      $begingroup$


      I am a trying to write a CNN from scratch in python but I am bit new to CNNs specifically the convolution layers as I am comfortable with the dense layers. I was reading Do filters have different weights for each input channel but I didn't completely understand and had a few questions. I wanted to confirm that if the input layer had 3 channels then for there to be 4 output channels you would need a total of 12 filters.



      Also, can the weights(actually I am not completely sure that I know what the weights are, they are the values of the kernels right?) of a filter be a floating number as I commonly see them being described as -1, 0 ,1.



      And finally, are the weights of the kernels. initialised once or rather are they changed during back propagation, as I used to have the notion that only the bias and dense layer would be changed.



      Thank you so much for you time, any help is greatly appreciated.









      share







      New contributor




      teclnol is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am a trying to write a CNN from scratch in python but I am bit new to CNNs specifically the convolution layers as I am comfortable with the dense layers. I was reading Do filters have different weights for each input channel but I didn't completely understand and had a few questions. I wanted to confirm that if the input layer had 3 channels then for there to be 4 output channels you would need a total of 12 filters.



      Also, can the weights(actually I am not completely sure that I know what the weights are, they are the values of the kernels right?) of a filter be a floating number as I commonly see them being described as -1, 0 ,1.



      And finally, are the weights of the kernels. initialised once or rather are they changed during back propagation, as I used to have the notion that only the bias and dense layer would be changed.



      Thank you so much for you time, any help is greatly appreciated.







      python cnn





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