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  • 11_Generate_Fairy_Tales
  • 01_Training
WorkflowWorkflow

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

Deep learning Keras Text generation RNN LSTM
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The workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive fairy tales. The brown nodes define the network structure. The "Pre-Processing" metanode reads fairy tales and index-encodes them, and creates semi-overlapping sequences. The Keras Network Learner node trains the network using the index-encoded fairy tales. Finally, the trained network is converted into a TensorFlow model, and saved to a file.

External resources

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

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.2
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

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    KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Deep Learning - TensorFlow Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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