Keras Dot Layer

A layer that computes a dot product between samples in two inputs. Corresponds to the Dot Keras layer . In contrast to the Dot Keras layer we currently support only 1D tensors.

Options

Name prefix: The name prefix of the layer. The prefix is complemented by an index suffix to obtain a unique layer name. If this option is unchecked, the name prefix is derived from the layer type.
Normalize: Whether to L2-normalize samples along the dot product axis before taking the dot product. If selected, then the output of the dot product is the cosine proximity between the two samples.

Input Ports

: The Keras deep learning network that is the first input of this Dot layer.
: The Keras deep learning network that is the second input of this Dot layer.

Output Ports

: The two input Keras deep learning networks merged into one by the added Dot layer.

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Installation

To use this node in KNIME, install the extension KNIME Deep Learning - Keras Integration 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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