RBM Layer (legacy)

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.

The KNIME Deeplearning4J Integration has been marked as legacy with KNIME Analytics Platform 5.0 and will be deprecated in a future version. If you are using this extension in a production workflow, consider switching to one of the other deep learning integrations available in KNIME Analytics Platform.

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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Installation

To use this node in KNIME, install the extension KNIME Deeplearning4J Integration (64bit only) (legacy) from the below update site following our NodePit Product and Node Installation Guide:

v5.4

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

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 5.4.0.v202407310952
On NodePit since: 2024-12-06
Last update: 2024-12-21
Tags: Deprecated
KNIME versions: Since v3.6

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