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Keras
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Analytics Layers
  1. Node / Other
    Keras Activation Layer
    Analytics Integrations Deep Learning
    +3
    This layer applies an activation function element-wise to the layer input. Corresponds to the Keras Activation Layer .
    0
    knime
  2. Node / Other
    Keras Activity Regularization Layer
    Analytics Integrations Deep Learning
    +3
    This layer applies an update to the cost function based on input activity. Corresponds to the Keras Activity Regularization Layer…
    0
    knime
  3. Node / Other
    Keras Dense Layer (deprecated)
    Analytics Integrations Deep Learning
    +3
    A densely connected layer that connects each unit of the layer input with each output unit of this layer. Corresponds to the Kera…
    0
    knime
  4. Node / Other
    Keras Dense Layer
    Analytics Integrations Deep Learning
    +3
    A densely connected layer that connects each unit of the layer input with each output unit of this layer. Corresponds to the Kera…
    0
    knime
  5. Node / Other
    Keras Repeat Layer
    Analytics Integrations Deep Learning
    +3
    This layer repeats the layer input for the specified number of times. The layer input must be 1-dimensional, all other dimensiona…
    0
    knime
  6. Node / Other
    Keras Reshape Layer
    Analytics Integrations Deep Learning
    +3
    Reshapes an output to the specified shape. Corresponds to the Keras Reshape Layer .
    0
    knime
  7. Node / Other
    Keras Dropout Layer
    Analytics Integrations Deep Learning
    +3
    Applies dropout to the layer input. Dropout consists in randomly setting a fraction rate of input units to 0 at each update durin…
    0
    knime
  8. Node / Other
    Keras Flatten Layer
    Analytics Integrations Deep Learning
    +3
    This layer flattens the layer input in each but the batch dimension. Corresponds to the Keras Flatten Layer .
    0
    knime
  9. Node / Other
    Keras Input Layer
    Analytics Integrations Deep Learning
    +3
    Creates a new Keras Deep Learning Network with the specified shape, type, and batch size. Corresponds to the Keras Input Layer .
    0
    knime
  10. Node / Other
    Keras Masking Layer
    Analytics Integrations Deep Learning
    +3
    Masks a sequence by using a mask value to skip timesteps. For each timestep in the input tensor (first dimension in the tensor), …
    0
    knime
  11. Node / Other
    Keras Permute Layer
    Analytics Integrations Deep Learning
    +3
    Permutes the dimensions of the input according to a given pattern. Corresponds to the Keras Permute Layer .
    0
    knime