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what is filter and kernel_size? [closed]



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhy do convolutional neural networks work?What are the pros and cons of zero padding in a convolution layer?Filter dimensionality in ConvNNsHow to check for dead relu neuronsCNN'S are what?TensorFlow: number of channels of conv1d filterSimple prediction with KerasValueError: Error when checking target: expected dense_2 to have shape (1,) but got array with shape (0,)Should I pad zero or mean value in a convolution neural network? What about reflective padding?Query regarding (.output_shape) parameters used in CNN modelNumpy Python deep learning framework










0












$begingroup$


For below line of code



model.add(Conv2D(filters = 32, kernel_size = (5,5),padding = 'Same', 
 activation ='relu', input_shape = (28,28,1)))


Here, what does 'filers' and 'kernel_size' mean? or what is filter and kernel_size ?






machine-learning neural-network keras







share|improve this question









$endgroup$



closed as too broad by thanatoz, Stephen Rauch♦, Ethan, Shamit Verma, oW_♦ Apr 3 at 15:35


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

















  • $begingroup$
    Please refer older answers stackoverflow.com/questions/34831038/…
    $endgroup$
    – thanatoz
    Apr 3 at 13:14






  • 1




    $begingroup$
    Possible duplicate of Why do convolutional neural networks work?
    $endgroup$
    – thanatoz
    Apr 3 at 13:15















0












$begingroup$


For below line of code



model.add(Conv2D(filters = 32, kernel_size = (5,5),padding = 'Same', 
 activation ='relu', input_shape = (28,28,1)))


Here, what does 'filers' and 'kernel_size' mean? or what is filter and kernel_size ?






machine-learning neural-network keras







share|improve this question









$endgroup$



closed as too broad by thanatoz, Stephen Rauch♦, Ethan, Shamit Verma, oW_♦ Apr 3 at 15:35


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

















  • $begingroup$
    Please refer older answers stackoverflow.com/questions/34831038/…
    $endgroup$
    – thanatoz
    Apr 3 at 13:14






  • 1




    $begingroup$
    Possible duplicate of Why do convolutional neural networks work?
    $endgroup$
    – thanatoz
    Apr 3 at 13:15













0












0








0





$begingroup$


For below line of code



model.add(Conv2D(filters = 32, kernel_size = (5,5),padding = 'Same', 
 activation ='relu', input_shape = (28,28,1)))


Here, what does 'filers' and 'kernel_size' mean? or what is filter and kernel_size ?






machine-learning neural-network keras







share|improve this question









$endgroup$




For below line of code



model.add(Conv2D(filters = 32, kernel_size = (5,5),padding = 'Same', 
 activation ='relu', input_shape = (28,28,1)))


Here, what does 'filers' and 'kernel_size' mean? or what is filter and kernel_size ?






machine-learning neural-network keras




machine-learning neural-network keras






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Apr 3 at 12:27









Vinay SharmaVinay Sharma

61




61




closed as too broad by thanatoz, Stephen Rauch♦, Ethan, Shamit Verma, oW_♦ Apr 3 at 15:35


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.









closed as too broad by thanatoz, Stephen Rauch♦, Ethan, Shamit Verma, oW_♦ Apr 3 at 15:35


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.













  • $begingroup$
    Please refer older answers stackoverflow.com/questions/34831038/…
    $endgroup$
    – thanatoz
    Apr 3 at 13:14






  • 1




    $begingroup$
    Possible duplicate of Why do convolutional neural networks work?
    $endgroup$
    – thanatoz
    Apr 3 at 13:15
















  • $begingroup$
    Please refer older answers stackoverflow.com/questions/34831038/…
    $endgroup$
    – thanatoz
    Apr 3 at 13:14






  • 1




    $begingroup$
    Possible duplicate of Why do convolutional neural networks work?
    $endgroup$
    – thanatoz
    Apr 3 at 13:15















$begingroup$
Please refer older answers stackoverflow.com/questions/34831038/…
$endgroup$
– thanatoz
Apr 3 at 13:14




$begingroup$
Please refer older answers stackoverflow.com/questions/34831038/…
$endgroup$
– thanatoz
Apr 3 at 13:14




1




1




$begingroup$
Possible duplicate of Why do convolutional neural networks work?
$endgroup$
– thanatoz
Apr 3 at 13:15




$begingroup$
Possible duplicate of Why do convolutional neural networks work?
$endgroup$
– thanatoz
Apr 3 at 13:15










1 Answer
1






active

oldest

votes


















1












$begingroup$

Filters are used to extract features from images in the process of convolution.




filters: Integer, the dimensionality of the output space (i.e. the
number of output filters in the convolution).



kernel_size: An integer or tuple/list of 2 integers, specifying the
height and width of the 2D convolution window. Can be a single integer
to specify the same value for all spatial dimensions.




For detailed undestadning of filter and kernel_size, refer:
https://www.saama.com/blog/different-kinds-convolutional-filters/
https://keras.io/layers/convolutional/






share|improve this answer









$endgroup$



















    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1












    $begingroup$

    Filters are used to extract features from images in the process of convolution.




    filters: Integer, the dimensionality of the output space (i.e. the
    number of output filters in the convolution).



    kernel_size: An integer or tuple/list of 2 integers, specifying the
    height and width of the 2D convolution window. Can be a single integer
    to specify the same value for all spatial dimensions.




    For detailed undestadning of filter and kernel_size, refer:
    https://www.saama.com/blog/different-kinds-convolutional-filters/
    https://keras.io/layers/convolutional/






    share|improve this answer









    $endgroup$

















      1












      $begingroup$

      Filters are used to extract features from images in the process of convolution.




      filters: Integer, the dimensionality of the output space (i.e. the
      number of output filters in the convolution).



      kernel_size: An integer or tuple/list of 2 integers, specifying the
      height and width of the 2D convolution window. Can be a single integer
      to specify the same value for all spatial dimensions.




      For detailed undestadning of filter and kernel_size, refer:
      https://www.saama.com/blog/different-kinds-convolutional-filters/
      https://keras.io/layers/convolutional/






      share|improve this answer









      $endgroup$















        1












        1








        1





        $begingroup$

        Filters are used to extract features from images in the process of convolution.




        filters: Integer, the dimensionality of the output space (i.e. the
        number of output filters in the convolution).



        kernel_size: An integer or tuple/list of 2 integers, specifying the
        height and width of the 2D convolution window. Can be a single integer
        to specify the same value for all spatial dimensions.




        For detailed undestadning of filter and kernel_size, refer:
        https://www.saama.com/blog/different-kinds-convolutional-filters/
        https://keras.io/layers/convolutional/






        share|improve this answer









        $endgroup$



        Filters are used to extract features from images in the process of convolution.




        filters: Integer, the dimensionality of the output space (i.e. the
        number of output filters in the convolution).



        kernel_size: An integer or tuple/list of 2 integers, specifying the
        height and width of the 2D convolution window. Can be a single integer
        to specify the same value for all spatial dimensions.




        For detailed undestadning of filter and kernel_size, refer:
        https://www.saama.com/blog/different-kinds-convolutional-filters/
        https://keras.io/layers/convolutional/







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Apr 3 at 13:12









        PreetPreet

        4585




        4585













            -

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