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02_​Deployment

Generate Mountain Namesn (Deployment)

The workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts 200 sequences of index-encoded characters within a loop. The last node, named Extract Mountain Names translates the sequence of indexes into characters and visualizes the new fictive mountain names.

Generate Mountain Namesn (Deployment)The workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts 200 sequences of index-encoded characters within a loop. The last node, named Extract Mountain Names translates the sequence of indexes into characters andvisualizes the new fictive mountain names. In order to run the example, please make sure you have the following KNIME extensions installed:* KNIME Deep Learning - Keras Integration (Labs)* KNIME Deep Learning - TensorFlow Integration* KNIME Python IntegrationYou also need a local Python installation that includes Keras. Please refer to https://www.knime.com/deeplearning#keras for installation Deplyment Workflow New InputPlus HiddenStatesRead ModelTo Output SequenceAnd Inital HiddenStates with Zeros Recursive Loop End RecursiveLoop Start Create CollectionColumn Joiner Next Char TensorFlowNetwork Reader First Char Add Char ExtractMointain Names Create Start Token TensorFlowNetwork Executor TensorFlowNetwork Executor Generate Mountain Namesn (Deployment)The workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts 200 sequences of index-encoded characters within a loop. The last node, named Extract Mountain Names translates the sequence of indexes into characters andvisualizes the new fictive mountain names. In order to run the example, please make sure you have the following KNIME extensions installed:* KNIME Deep Learning - Keras Integration (Labs)* KNIME Deep Learning - TensorFlow Integration* KNIME Python IntegrationYou also need a local Python installation that includes Keras. Please refer to https://www.knime.com/deeplearning#keras for installation Deplyment Workflow New InputPlus HiddenStatesRead ModelTo Output SequenceAnd Inital HiddenStates with Zeros Recursive Loop End RecursiveLoop Start Create CollectionColumn Joiner Next Char TensorFlowNetwork Reader First Char Add Char ExtractMointain Names Create Start Token TensorFlowNetwork Executor TensorFlowNetwork Executor

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: kathrinmelcher
Created at: 2018-10-25
On NodePit since: 2020-02-25
Last update: 2026-02-04
Created with KNIME version: v4.1.1
Tags: TAG:deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing

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