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  • 02_Text_Generation_Fairy_Tales_Deployment
WorkflowWorkflow

Generate Text Using a Many-To-One LSTM Network (Deployment)

Deep learning Keras Text generation RNN LSTM
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This workflows shows two options how the previously trained TensorFlow network to generate fairy tales can be used to generates text in fairy tale style. Both options read the previously trained TensorFlow network and predict a sequences of index-encoded characters within a loop. The difference between the two options is in the Extract Index metanode. The metanode uses probability distribution over all possible indexes to make the predictions. In the Deployment Workflow I the index with the highest probability is extracted. In the Deployment workflow II the next index based is picked based on the given probability distribution.

External resources

  • “Once Upon A Time … “ by LSTM Network Blogpost

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Deep Learning - TensorFlow Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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