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02_​Generate_​Mountain_​Names_​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.

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 Deplyment Workflow New InputPlus HiddenStatesRead ModelTo Output SequenceAnd Inital HiddenStates with ZerosRecursive 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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Extensions

Links

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

Download Workflow
Created by: kathrinmelcher
Created at: 2018-10-25
On NodePit since: 2020-12-17
Last update: 2024-04-27
Created with KNIME version: v4.2.3
Tags: deep learningkerastext generationRNNLSTMtext analysissequence analysisneural networktext processing

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