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

Icon
The model which will be extended by this layer.

Output Ports

Icon
The model from the input port additionally containing this layer.

Popular Predecessors

Popular Successors

Views

This node has no views

Workflows

  • No workflows found

Links

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

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: 2024-12-31
KNIME versions: Since v3.6

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!