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LRN Layer

KNIME Deeplearning4J Integration version 4.3.1.v202101261633 by KNIME AG, Zurich, Switzerland

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

Options

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.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Deeplearning4J Integration (64bit only) from the following update site:

KNIME 4.3

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

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