AutoEncoder Layer (legacy)

This node adds a Denoising AutoEncoder 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.
Learning Rate: The learning rate that should be used for this layer.
Weight Initialization Strategy: The strategy which will be used to set the initial weights for this layer.
Activation Function: The type of activation function that should be used for this layer.
Loss Function: The type of loss function that should be used for this layer.
Corruption Level: The amount of noise or corruption which should be used.

Input Ports

: The model which will be extended by this layer.

Output Ports

: 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:

v5.3

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202312081534

On NodePit since: 2024-07-09

Last update: 2024-11-21

KNIME versions: Since v3.6

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