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Integrations Keras Convolution Recurrent Core Pooling Merge
  1. Node / Other
    Keras ELU Layer
    Analytics Integrations Deep Learning
    +3
    Exponential linear units were introduced to alleviate the disadvantages of ReLU and LeakyReLU units, namely to push the mean acti…
    0
    knime
  2. Node / Other
    Keras Leaky ReLU Layer
    Analytics Integrations Deep Learning
    +3
    A leaky ReLU is a rectified linear unit (ReLU) with a slope in the negative part of its input space. The motivation for leaky ReL…
    0
    knime
  3. Node / Other
    Keras PReLU Layer
    Analytics Integrations Deep Learning
    +3
    Like the leaky ReLU, the parametric ReLU introduces a slope in the negative part of the input space to improve learning dynamics …
    0
    knime
  4. Node / Other
    Keras PReLU Layer (deprecated)
    Analytics Integrations Deep Learning
    +3
    Like the leaky ReLU, the parametric ReLU introduces a slope in the negative part of the input space to improve learning dynamics …
    0
    knime
  5. Node / Other
    Keras Softmax Layer
    Analytics Integrations Deep Learning
    +3
    The softmax function is commonly used as the last layer in a classification network. It transforms an unconstrained n-dimensional…
    0
    knime
  6. Node / Other
    Keras Thresholded ReLU Layer
    Analytics Integrations Deep Learning
    +3
    Similar to ordinary ReLUs but shifted by theta. f(x) = x for x > theta, f(x) = 0 otherwise . Corresponds to the Keras Thresholded…
    0
    knime
  7. 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
    knime
  8. 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
    knime
  9. 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
    knime
  10. 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
    knime
  11. 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
    knime
  12. 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
    knime
  13. Node / Other
    Keras Upsampling 2D Layer
    Analytics Integrations Deep Learning
    +3
    Repeats the rows and columns of the layer input. Corresponds to the Keras Upsampling 2D Layer .
    0
    knime
  14. Node / Other
    Keras Upsampling 3D Layer
    Analytics Integrations Deep Learning
    +3
    Repeats the layer input element-wise in three dimension. Corresponds to the Keras Upsampling 3D Layer .
    0
    knime
  15. 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
    knime
  16. 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
    knime
  17. 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
    knime
  18. 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
    knime
  19. 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
    knime
  20. 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
    knime