This workflow uses the TensorFlow Python bindings to create and train a multilayer perceptron using the Python API. The trained network is then used to predict the class of unseen data. For more information on the dataset see https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite) In order to run the example, please make sure you have the following KNIME extensions installed: * KNIME Deep Learning - TensorFlow Integration (Labs) You also need a local Python installation that includes TensorFlow. Please refer to https://www.knime.com/deeplearning/tensorflow for installation recommendations and further information.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.1.0
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