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Simple Anomaly Detection Using a Convolutional Network

Deeplearning Machine learning Anomaly detection Neural networks Convolutional

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This workflow shows how to do anomaly detection of the MNIST dataset using a convolutional network. Workflow Requirements KNIME Analytics Platform 3.2.0 KNIME Deeplearning4J Integration KNIME Deeplearning4J Integration Image Processing Extension

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Deeplearning4J Integration (64bit only) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Image Processing Trusted extension

    University of Konstanz / KNIME

    Version 1.8.1

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