DL Network Executor

This node executes a 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.

Views

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Workflows

• 01_Classify_images_using_InceptionV3KNIME Hub
• 01_Data_Preparation_and_CNN_TrainingKNIME Hub
• 01_Read_And_Execute_a_SavedModel_on_MNISTKNIME Hub
• 02_Classify_images_using_ResNet50KNIME Hub
• 02_Guided_AnalyticsKNIME Hub
• Show all 19 workflows

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