RBM Layer

This Node Is Deprecated — This node is kept for backwards-compatibility, but the usage in new workflows is no longer recommended. The documentation below might contain more information.

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

Options

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

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The model which will be extended by this layer.

Output Ports

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The model from the input port additionally containing this layer.

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