LRN Layer (legacy)

This node adds a Local Response Normalization layer to the Deep Learning Model supplied by the input port. For more information on LRN see the following paper:
http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf

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.

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Hyper Parameters
The variables k, n, alpha and beta are hyper parameters for the Local Response Normalization method. The paper uses the following values:
  • k = 2
  • n = 5
  • alpha = 0.0001
  • beta = 0.75

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:

v5.3

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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