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Convolution
Image filtering Image processing Analytics Deep Learning Integrations
+2
  1. Workflow
    Application: Difference Of Gaussians
    Image processing Image filtering Convolution
    This tutorial introduces an image enhancement algorithm that substracts a blurred version of an image from a lower blurred versio…
    knime > Examples > 99_Community > 01_Image_Processing > 01_Tutorials > 02_Application_Tutorials > 09_Difference_of_Gaussians > 02_Joiner_Calculator
    0
  2. Workflow
    Application: Difference Of Gaussians
    Image processing Image filtering Convolution
    This tutorial introduces an image enhancement algorithm that substracts a blurred version of an image from a lower blurred versio…
    knime > Examples > 99_Community > 01_Image_Processing > 01_Tutorials > 02_Application_Tutorials > 09_Difference_of_Gaussians > 03_DoG_Node
    0
  3. Workflow
    Application: Difference Of Gaussians
    Image processing Image filtering Convolution
    This tutorial introduces an image enhancement algorithm that substracts a blurred version of an image from a lower blurred versio…
    knime > Examples > 99_Community > 01_Image_Processing > 01_Tutorials > 02_Application_Tutorials > 09_Difference_of_Gaussians > 01_Column_Selections
    0
  4. Workflow
    Convolver
    Image processing Image filtering Convolution
    This tutorial explains the Convolver Node. Generally, the Convolver applies convolution to images (i.e. filters images) using a s…
    knime > Examples > 99_Community > 01_Image_Processing > 01_Tutorials > 01_Node_Tutorials > 09_Convolver
    0
  5. Node / Other
    Keras Convolution 1D Layer
    Analytics Integrations Deep Learning
    +3
    This layer creates a convolution kernel that is convolved with the layer input over a single dimension. Corresponds to the Keras …
    0
  6. Node / Other
    Keras Convolution 1D Layer (deprecated)
    Analytics Integrations Deep Learning
    +3
    This layer creates a convolution kernel that is convolved with the layer input over a single dimension. Corresponds to the Keras …
    0
  7. Node / Other
    Keras Convolution 2D Layer
    Analytics Integrations Deep Learning
    +3
    This layer creates a convolution kernel that is convolved with the layer input over two dimensions. Corresponds to the Keras Conv…
    0
  8. Node / Other
    Keras Convolution 2D Layer (deprecated)
    Analytics Integrations Deep Learning
    +3
    This layer creates a convolution kernel that is convolved with the layer input over two dimensions. Corresponds to the Keras Conv…
    0
  9. Node / Other
    Keras Convolution 3D Layer
    Analytics Integrations Deep Learning
    +3
    This layer creates a convolution kernel that is convolved with the layer input over three dimensions. Corresponds to the Keras Co…
    0
  10. Node / Other
    Keras Convolution 3D Layer (deprecated)
    Analytics Integrations Deep Learning
    +3
    This layer creates a convolution kernel that is convolved with the layer input over three dimensions. Corresponds to the Keras Co…
    0
  11. Node / Other
    Keras Cropping 1D Layer
    Analytics Integrations Deep Learning
    +3
    This layer crops the layer input in a single dimension. Corresponds to the Keras Cropping 1D Layer .
    0
  12. Node / Other
    Keras Cropping 2D Layer
    Analytics Integrations Deep Learning
    +3
    This layer crops the layer input in two dimensions. Corresponds to the Keras Cropping 2D Layer .
    0
  13. Node / Other
    Keras Cropping 3D Layer
    Analytics Integrations Deep Learning
    +3
    This layer crops the layer input in three dimensions. Corresponds to the Keras Cropping 3D Layer .
    0
  14. Node / Other
    Keras Separable Convolution 1D Layer
    Analytics Integrations Deep Learning
    +3
    This layer performs convolution in a single dimension with a factorization of the convolution kernel into two smaller kernels. Co…
    0
  15. Node / Other
    Keras Separable Convolution 1D Layer (deprecated)
    Analytics Integrations Deep Learning
    +3
    This layer performs convolution in a single dimension with a factorization of the convolution kernel into two smaller kernels. Co…
    0
  16. Node / Other
    Keras Separable Convolution 2D Layer
    Analytics Integrations Deep Learning
    +3
    This layer performs convolution in two dimensions with a factorization of the convolution kernel into two smaller kernels. Corres…
    0
  17. Node / Other
    Keras Separable Convolution 2D Layer (deprecated)
    Analytics Integrations Deep Learning
    +3
    This layer performs convolution in two dimensions with a factorization of the convolution kernel into two smaller kernels. Corres…
    0
  18. Node / Other
    Keras Transposed Convolution 2D Layer
    Analytics Integrations Deep Learning
    +3
    The need for transposed convolutions generally arises from the desire to use a transformation going in the opposite direction of …
    0
  19. Node / Other
    Keras Transposed Convolution 2D Layer (deprecated)
    Analytics Integrations Deep Learning
    +3
    The need for transposed convolutions generally arises from the desire to use a transformation going in the opposite direction of …
    0
  20. Node / Other
    Keras Upsampling 1D Layer
    Analytics Integrations Deep Learning
    +3
    Repeats the layer input element-wise in a single dimension. Corresponds to the Keras Upsampling 1D Layer .
    0