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Use a TensorFlow Hub model for TensorFlow 2

Tf Tfhub TensorFlow Hub TensorFlow Deep Learning
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This workflow shows how a model from the TensorFlow Hub can be used in KNIME. MobileNet is used to predict the class of 6 images. In order to run the example, please make sure you have the following KNIME extensions installed: * KNIME Deep Learning - TensorFlow 2 Integration (Labs) * KNIME Image Processing (Community Contributions) * KNIME Image Processing - Deep Learning Extension (Community Contributions) You also need a local Python installation that includes TensorFlow 2. Please refer to https://docs.knime.com/latest/deep_learning_installation_guide/#dl_python_setup for installation recommendations and further information.

External resources

  • KNIME Deep Learning Integration Installation Guide

Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    KNIME profile image
    knime
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    KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    KNIME profile image
    knime
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    KNIME Deep Learning - TensorFlow 2 Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    KNIME profile image
    knime
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    KNIME Image Processing Trusted extension

    University of Konstanz / KNIME

    Version 1.8.3

    bioml-konstanz
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    KNIME profile image
    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    KNIME profile image
    knime
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