Keras Network Executor

This node executes a Keras deep learning network on a compatible external back end that can be selected by the user.

Options

Back end: The deep learning back end which is used to execute the input network for the given input data.
Input batch size: The number of rows that are processed at a time.

Conversion: The converter that is used to transform the selected input columns into a format that is accepted by the respective network input specification.
Input columns: The table columns that are part of the respective network input. The availability of a column depends on the currently selected input converter.

Conversion: The converter that is used to transform the network output into table columns.
Output columns prefix: The prefix that is used to distinguish between the columns of the different outputs.

CUDA visible devices: Content of the environment variable CUDA_VISIBLE_DEVICES which identifies the GPUs that are visible to the Node. If no value is given the environment variable will not be set which will result in all GPUs being visible to the Node. Otherwise, the value should be a comma-separated list of GPU identifiers (See CUDA Environment Variables ).

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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: 2024-11-20

Tags: Streamable

KNIME versions: Since v4.0

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