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

General Settings

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.

Inputs

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.

Outputs

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.

GPU Selection

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 ).

Input Ports

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The Keras deep learning network.
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The input table.

Output Ports

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The output table.

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Workflows

Further Links

Developers

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