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RBM Layer

DeprecatedKNIME Deeplearning4J Integration version 4.4.0.v202104131313 by KNIME AG, Zurich, Switzerland

This node adds a Restricted Boltzmann Machine layer to the Deep Learning Model supplied by the input port.


Number of Output Units
The number of outputs for this layer.
Contrastive Divergence Iterations
The number of Contrastive Divergence runs that should be performed.
Drop Out Rate
Drop Out probability for neurons.
Learning Rate
The learning rate that should be used for this layer.
Hidden Unit Transformation
The type of transformation used by the hidden units.
Visible Unit Transformation
The type of transformation used by the visible units.
Weight Initialization Strategy
The strategy which will be used to set the initial weights for this layer.
Loss Function
The type of loss function that should be used for this layer.
Activation Function
The type of activation function that should be used for this layer.

Input Ports

The model which will be extended by this layer.

Output Ports

The model from the input port additionally containing this layer.

Best Friends (Incoming)

Best Friends (Outgoing)



To use this node in KNIME, install KNIME Deeplearning4J Integration (64bit only) from the following update site:


A zipped version of the software site can be downloaded here.

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